https://wiki.esipfed.org/w/api.php?action=feedcontributions&user=Clynnes&feedformat=atomEarth Science Information Partners (ESIP) - User contributions [en]2024-03-28T15:18:26ZUser contributionsMediaWiki 1.35.14https://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67784Usage-based Data Discovery - Episode 52020-06-25T20:37:32Z<p>Clynnes: </p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest: Cooking with Graphs<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing lots]<br />
# Hackfest sessions: 3<br />
# People: some<br />
<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Cooks: create an end to end application with graph database, relationship content, API, (UI)<br />
# Menu Designers: design User Experience using one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Foragers: find dataset-usage relationships underpinning the use cases<br />
==Questions==<br />
# Local machines or ESIP AWS? Both<br />
# One team per type, or multiple? Depends on signup<br />
# Team "spirit guides"? Beth, Doug, Chris, TBD<br />
# Suggested use case for Implementation Team? Chris to write up flood assessment use case<br />
# Suggested use case(s) for UX team? Anyone they want.<br />
# Let foraging explore whatever they want? <br />
## Yes, but feed results to other teams if related to their use cases.<br />
## Checkpoint before session #2 to see if any are useful.<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
## Icons for wireflows<br />
## Initial set of relationships<br />
## Instructions<br />
# Team signup sheet: Done<br />
# Know-before-you-go: TBS<br />
# Advertisement to community: Chris, via Sched<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67771Usage-based Data Discovery - Episode 52020-06-18T19:48:14Z<p>Clynnes: /* Questions */</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest: Cooking with Graphs<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing lots]<br />
# Hackfest sessions: 3<br />
# People: some<br />
<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Cooks: create an end to end application with graph database, relationship content, API, (UI)<br />
# Menu Designers: design User Experience using one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Foragers: find dataset-usage relationships underpinning the use cases<br />
# Other?<br />
<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let foraging explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67770Usage-based Data Discovery - Episode 52020-06-18T19:08:04Z<p>Clynnes: /* What Do We Have So Far? */</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest: Cooking with Graphs<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing lots]<br />
# Hackfest sessions: 3<br />
# People: some<br />
<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Cooks: create an end to end application with graph database, relationship content, API, (UI)<br />
# Menu Designers: design User Experience using one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Foragers: find dataset-usage relationships underpinning the use cases<br />
# Other?<br />
<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67769Usage-based Data Discovery - Episode 52020-06-18T18:58:04Z<p>Clynnes: /* What Do We Have So Far? */</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest: Cooking with Graphs<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing lots]<br />
# Hackfest slots: 3<br />
# People: some<br />
<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Cooks: create an end to end application with graph database, relationship content, API, (UI)<br />
# Menu Designers: design User Experience using one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Foragers: find dataset-usage relationships underpinning the use cases<br />
# Other?<br />
<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67768Usage-based Data Discovery - Episode 52020-06-17T12:54:36Z<p>Clynnes: </p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest: Cooking with Graphs<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: lots<br />
# Hackfest slots: 3<br />
# People: some<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Cooks: create an end to end application with graph database, relationship content, API, (UI)<br />
# Menu Designers: design User Experience using one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Foragers: find dataset-usage relationships underpinning the use cases<br />
# Other?<br />
<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67767Usage-based Data Discovery - Episode 52020-06-15T21:12:00Z<p>Clynnes: /* Types of Teams */</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: lots<br />
# Hackfest slots: 3<br />
# People: some<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Implementation: create an end to end application with graph database, relationship content, API, (UI)<br />
# User Experience design: create one or more [https://www.nngroup.com/articles/wireflows/ wireflow diagrams] <br />
# Discoverers: find dataset: usage relationships underpinning the use cases<br />
# Other?<br />
<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67766Usage-based Data Discovery - Episode 52020-06-15T21:11:26Z<p>Clynnes: /* Questions */</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: lots<br />
# Hackfest slots: 3<br />
# People: some<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Implementation: create an end to end application with graph database, relationship content, API, (UI)<br />
# User Experience design: create one or more [https://www.nngroup.com/articles/wireflows/|wireflow diagrams] <br />
# Discoverers: find dataset: usage relationships underpinning the use cases<br />
# Other?<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Mise en Place (Provisioned ingredients)<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom? what format?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup?<br />
## AWS accounts?<br />
## Or software packages for laptops?<br />
## Others?<br />
==Prep Work==<br />
# Assemble and preposition ingredients: who? when?<br />
# Team signup sheet?<br />
# Know-before-you-go: who?<br />
# Advertisement to community: who?<br />
# Other?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_5&diff=67765Usage-based Data Discovery - Episode 52020-06-15T21:06:03Z<p>Clynnes: Created page with "=Telecon Objective= Design the ESIP Summer Hackfest =Agenda= ==What Do We Have So Far?== # Use Cases: lots # Hackfest slots: 3 # People: some ==Hackfest Plan== ===Types of Tea..."</p>
<hr />
<div>=Telecon Objective=<br />
Design the ESIP Summer Hackfest<br />
=Agenda=<br />
==What Do We Have So Far?==<br />
# Use Cases: lots<br />
# Hackfest slots: 3<br />
# People: some<br />
==Hackfest Plan==<br />
===Types of Teams===<br />
# Implementation: create an end to end application with graph database, relationship content, API, (UI)<br />
# User Experience design: create one or more [https://www.nngroup.com/articles/wireflows/|wireflow diagrams] <br />
# Discoverers: find dataset: usage relationships underpinning the use cases<br />
# Other?<br />
==Questions==<br />
# Local machines or ESIP AWS?<br />
# One team per type, or multiple?<br />
# Team "spirit guides"?<br />
# Suggested use case for Implementation Team?<br />
# Suggested use case(s) for UX team?<br />
# Let discoverers explore whatever they want?<br />
# Pre-fab "Supplies"<br />
## Some dataset-usage relationships for Implementation Team(s): how many? from whom?<br />
## Icons for wireflow designing: who to supply?<br />
## Google Slides doc(s) for UX group: who to setup<br />
## Others?</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67764Discovery Cluster2020-06-15T20:50:35Z<p>Clynnes: </p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-06-18: [[Usage-based Data Discovery - Episode 5]]<br />
* 2020-05-21: [[Usage-based Data Discovery - Episode 4]]<br />
* 2020-05-11: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing Use Case Repo]<br />
* 2020-04-16: [[Usage-based Data Discovery - Episode 3]]<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Contact mailto:chris.lynnes@nasa.gov for info on joining the GoToMeeting.<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67634Usage-based Data Discovery - Episode 42020-06-01T18:53:17Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
## Presentation: [[Media:KG Overview - ESIP 05212020.pptx]]<br />
## Paper (GCMD Keyword Recommender): [[Media:Gcmd_keyword_tool.pdf]]<br />
## Paper (Analogy-based Assessment of Domain-specific Word Embeddings): [[Media:Analogy_based_Assessment_of_Domain_specific_Word_Embeddings.pdf]]<br />
## [https://neo4j.com/sandbox/ Graph Sandbox] <br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67633Usage-based Data Discovery - Episode 42020-06-01T18:31:24Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
## Presentation: [[Media:KG Overview - ESIP 05212020.pptx]]<br />
## Paper (GCMD Keyword Recommender): [[Media:Gcmd_keyword_tool.pdf]]<br />
## Paper (Analogy-based Assessment of Domain-specific Word Embeddings): [[Media:Analogy_based_Assessment_of_Domain_specific_Word_Embeddings.pdf]]<br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:Analogy_based_Assessment_of_Domain_specific_Word_Embeddings.pdf&diff=67632File:Analogy based Assessment of Domain specific Word Embeddings.pdf2020-06-01T18:30:28Z<p>Clynnes: </p>
<hr />
<div></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:Gcmd_keyword_tool.pdf&diff=67631File:Gcmd keyword tool.pdf2020-06-01T18:26:32Z<p>Clynnes: </p>
<hr />
<div></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67630Usage-based Data Discovery - Episode 42020-06-01T18:24:29Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
## Presentation: [[File:KG Overview - ESIP 05212020.pptx]]<br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67629Usage-based Data Discovery - Episode 42020-06-01T18:23:30Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
## Presentation: [[Presentation|File:KG Overview - ESIP 05212020.pptx]]<br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67628Usage-based Data Discovery - Episode 42020-06-01T18:16:25Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
## Presentation: [[File:KG Overview - ESIP 05212020.pptx]]<br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:KG_Overview_-_ESIP_05212020.pptx&diff=67627File:KG Overview - ESIP 05212020.pptx2020-06-01T18:13:16Z<p>Clynnes: Clynnes uploaded a new version of &quot;File:KG Overview - ESIP 05212020.pptx&quot;</p>
<hr />
<div></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:KG_Overview_-_ESIP_05212020.pptx&diff=67626File:KG Overview - ESIP 05212020.pptx2020-06-01T18:10:50Z<p>Clynnes: </p>
<hr />
<div></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67625Usage-based Data Discovery - Episode 42020-06-01T18:08:55Z<p>Clynnes: </p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
# Quick look over collected Use Cases (10 min)<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_4&diff=67624Usage-based Data Discovery - Episode 42020-06-01T18:08:26Z<p>Clynnes: Created page with "Agenda # Welcome Back (5 min) # Report on EO Knowledge Graph research at UAH (20 min) # Quick look over collected Use Cases (10 min) # More details on the July meeting hac..."</p>
<hr />
<div>Agenda<br />
# Welcome Back (5 min)<br />
# Report on EO Knowledge Graph research at UAH (20 min)<br />
<br />
# Quick look over collected Use Cases (10 min)<br />
<br />
# More details on the July meeting hackfest (15 min)<br />
## Use case for coders<br />
## Use cases for non-coders<br />
## How do teams work together? Cluster-donated use cases may be most suitable for teams<br />
## How many do we expect in the hackfest teams?<br />
### Individuals<br />
### Small teams<br />
### Large teams - what is the largest feasible?<br />
## Team Roles<br />
### Lead sketcher<br />
### Facilitator<br />
### Contributors<br />
## Logistics<br />
### There will be breakout rooms<br />
### Written instructions in each room<br />
### Slack channel<br />
## Outstanding Questions<br />
### How to split up work across sessions?<br />
### How to recruit?<br />
### How to sign up for teams</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67623Discovery Cluster2020-06-01T17:48:47Z<p>Clynnes: </p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-05-21: [[Usage-based Data Discovery - Episode 4]]<br />
* 2020-05-11: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing Use Case Repo]<br />
* 2020-04-16: [[Usage-based Data Discovery - Episode 3]]<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Contact mailto:chris.lynnes@nasa.gov for info on joining the GoToMeeting.<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67588Discovery Cluster2020-05-11T21:31:35Z<p>Clynnes: /* What's New */</p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-05-11: [https://docs.google.com/presentation/d/1u1dvqEB0ZZmxRqKDPN4DrIu4f9_r6TfYAlcVUAJUtMM/edit?usp=sharing Use Case Repo]<br />
* 2020-04-16: [[Usage-based Data Discovery - Episode 3]]<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Contact mailto:chris.lynnes@nasa.gov for info on joining the GoToMeeting.<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67528Discovery Cluster2020-04-23T19:13:22Z<p>Clynnes: /* Get Involved */</p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-04-16: [[Usage-based Data Discovery - Episode 3]]<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Contact mailto:chris.lynnes@nasa.gov for info on joining the GoToMeeting.<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67483Usage-based Data Discovery - Episode 32020-04-16T21:29:11Z<p>Clynnes: </p>
<hr />
<div>In-meeting notes: https://docs.google.com/document/d/1sOjdolC468wTo--FuQfPuc1kWwnpZotKMisYJuXByME/edit?usp=sharing<br />
<br />
This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
== Roadmap ==<br />
* April: Develop template for User Stories + User Experience (USUX)<br />
** Who is the user<br />
** What is their goal<br />
** What systems do they interact with<br />
** user input <-> system output<br />
** what eventual success looks like for that interaction<br />
* May: Develop End-to-end User Stories and User Experience description<br />
** using template<br />
** focused on precipitation related stuff<br />
** e.g., floods (disaster tie-in)<br />
** including the Serendipity Use Case (where we happen across new uses for the relationships by exploring them)<br />
* June: Identification and inventory of contributions<br />
** Small samples that are easy to inspect<br />
** Large corpora for tools<br />
** Known examples include dataset-paper connections from GES DISC and ESDIS<br />
* July: Hackfest to develop proofs of concept (see below)<br />
* August: Take stock and plan next segment of roadmap<br />
<br />
== ESIP Summer Session ==<br />
Hackfest for Everybody (not just coders)<br />
* Type 1: User interfaces working off graph data collected in June, following Use Cases from May<br />
* Type 2: Wrangling graph data into existing User Interfaces<br />
* Collaborations of coders with non-coding product owners strongly encouraged<br />
* Solicit other clusters in above<br />
<br />
== Potential Talks ==<br />
* UAH ITSC: Knowledge Graphs for EO<br />
* Linda van den Brink (OGC) – Linked Data Five Years from Now<br />
* etc.<br />
<br />
== Action Items ==<br />
* Beth and Chris: Develop Template for Use Cases<br />
* Doug: Distribute recipe for working with large graph corpus</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67482Usage-based Data Discovery - Episode 32020-04-16T18:55:55Z<p>Clynnes: </p>
<hr />
<div>In-meeting notes: https://docs.google.com/document/d/1sOjdolC468wTo--FuQfPuc1kWwnpZotKMisYJuXByME/edit?usp=sharing<br />
<br />
This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
== Roadmap ==<br />
Strawman Contents<br />
* End-to-end User Stories and User Experience description<br />
* Identification and inventory of potential partner contributions<br />
* Static demonstrations<br />
* Path to dynamic demonstrations<br />
* etc.<br />
<br />
== Potential Talks ==<br />
* UAH ITSC: Knowledge Graphs for EO<br />
* Linda van den Brink (OGC) – Linked Data Five Years from Now<br />
* etc.<br />
<br />
== ESIP Summer Session ==<br />
Your ideas here (but also see roadmap)</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67481Usage-based Data Discovery - Episode 32020-04-16T18:46:39Z<p>Clynnes: </p>
<hr />
<div>This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
== Roadmap ==<br />
Strawman Contents<br />
* End-to-end User Stories and User Experience description<br />
* Identification and inventory of potential partner contributions<br />
* Static demonstrations<br />
* Path to dynamic demonstrations<br />
* etc.<br />
<br />
== Potential Talks ==<br />
* UAH ITSC: Knowledge Graphs for EO<br />
* Linda van den Brink (OGC) – Linked Data Five Years from Now<br />
* etc.<br />
<br />
== ESIP Summer Session ==<br />
Your ideas here (but also see roadmap)</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67473Usage-based Data Discovery - Episode 32020-04-15T21:24:35Z<p>Clynnes: </p>
<hr />
<div>This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
== Roadmap ==<br />
Strawman Contents<br />
* End-to-end User Story and User Experience description<br />
* Identification and inventory of potential partner contributions<br />
* Static demonstrations<br />
* Path to dynamic demonstrations<br />
* etc.<br />
<br />
== Potential Talks ==<br />
* UAH’s: Knowledge Graphs for EO<br />
* Linda van den Brink (OGC) – Linked Data Five Years from Now<br />
* etc.<br />
<br />
== ESIP Summer Session ==<br />
Your ideas here (but also see roadmap)</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67472Usage-based Data Discovery - Episode 32020-04-15T21:22:48Z<p>Clynnes: </p>
<hr />
<div>This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks<sup>1</sup> be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
<sup>1</sup>e.g., UAH’s: Knowledge Graphs for EO; Linda van den Brink (OGC) – Linked Data Five Years from Now<br />
<br />
== Roadmap ==<br />
Strawman Contents<br />
* End-to-end User Story and User Experience description<br />
* Identification and inventory of potential partner contributions<br />
* Static demonstrations<br />
* Path to dynamic demonstrations<br />
* etc.</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_3&diff=67471Usage-based Data Discovery - Episode 32020-04-15T21:19:17Z<p>Clynnes: Created page with "This month’s telecon will be mostly about planning. Specifically, we need to plan the following things: # What is our end-to-end roadmap? # Would some short related talks* ..."</p>
<hr />
<div>This month’s telecon will be mostly about planning. Specifically, we need to plan the following things:<br />
# What is our end-to-end roadmap?<br />
# Would some short related talks* be useful to further our thinking? Should we schedule one month’s meeting for them exclusively, or sprinkle them in, one per month?<br />
# Can we translate the roadmap to a month-by-month schedule?<br />
# What should we submit as an ESIP Summer session?<br />
<br />
*e.g., UAH’s: Knowledge Graphs for EO; Linda van den Brink (OGC) – Linked Data Five Years from Now</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67470Discovery Cluster2020-04-15T21:13:51Z<p>Clynnes: /* What's New */</p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-04-16: [[Usage-based Data Discovery - Episode 3]]<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Click on: https://www.gotomeeting.com/join/131281357<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:EED2-TP-125_Rev01_CloudOptimizeStudy.pdf&diff=67401File:EED2-TP-125 Rev01 CloudOptimizeStudy.pdf2020-04-08T13:24:26Z<p>Clynnes: Clynnes uploaded a new version of &quot;File:EED2-TP-125 Rev01 CloudOptimizeStudy.pdf&quot;</p>
<hr />
<div></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67207Usage-based Data Discovery - Episode 22020-03-19T20:33:57Z<p>Clynnes: </p>
<hr />
<div>= Participants =<br />
* Chris Lynnes<br />
* Joe Lee<br />
* Irina Gerasimov<br />
* Adrienne Canino<br />
* Megan Carter<br />
* Ed Armstrong<br />
* Mark Parsons<br />
* Bob Downs<br />
* Beth Huffer<br />
* Jonathon Blythe<br />
* Doug Newman<br />
* Steve Olding<br />
<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= Notes =<br />
* Use Cases: Participating: Bob, Jonathon, Beth, Ed<br />
<br />
== Best Practice Use Case ==<br />
* Ed: interested in interdisciplinary, datasets used together WITHIN a given application<br />
* Mark: simple, single dataset use case + complex interdisciplinary use cases<br />
* Beth: dataset interconnections circles back to data transformations<br />
* Irina: validation requires MANY different datasets being used together, shows up in separate of research papers that focus on the application vs. those that focus on validation<br />
* J.B.: discovery / search process: present datasets relevant to their problem, e.g., homeowner types in more colloquial term, interpret what the user's real concern is<br />
* Adrienne (Axiom Data Science): how do we interact with users where they know what they are getting back; users expect fancy searches, but they need to be transparent (document how they got there) - show the graph!<br />
* B. Downs: combine with location of interest <br />
* JB: maybe too big a tech lift at this point?<br />
* Mark: location is relevant, sure, but how does it <br />
* Chris: dataset used Gulf of Maine, might be useful in Puget Sound<br />
* Mark: identify desired outcome<br />
<br />
== IMPACT Use Case ==<br />
* In addition to how many, what type of use cases<br />
* Beth: Take me to the articles about the data<br />
* Irina: Data providers want to know about applications of their data; ask them if they know how their data are being used<br />
* Bob: What other data were used in conjunction with the datasets in a given climate study<br />
* JB: datasets commonly used together (Mark: closer to Beth's use case variant)<br />
* JB: IMPACT might be a roll up of lots of datasets<br />
* Mark: may want to contrast similar instrument, different algorithms, (Chris: or different platforms)<br />
* Ed: roll up by Societal Benefit Area<br />
<br />
== Next Agenda ==<br />
* Irina, Beth more graphs, how to make them<br />
* Adrienne: User story, aiming to create at the end<br />
* Ed: Using graphs for discovery, esp. related datasets, practical examples<br />
* Mark: Take one of these use cases, work a user story end to end to see what the graph looks like, including the tools<br />
* Bob: examples of graphs, something about the process we are going through, getting from here to there<br />
* Megan: Session proposal, ESIP Collaboration Slide<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67205Usage-based Data Discovery - Episode 22020-03-19T19:54:05Z<p>Clynnes: /* Notes */</p>
<hr />
<div>= Participants =<br />
* Chris Lynnes<br />
* Joe Lee<br />
* Irina Gerasimov<br />
* Adrienne<br />
* Megan Carter<br />
* Ed Armstrong<br />
* Mark Parsons<br />
* Bob Downs<br />
* Beth Huffer<br />
* Jonathon Blythe<br />
* Doug Newman<br />
* Steve Olding<br />
<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= Notes =<br />
* Use Cases: Participating: Bob, Jonathon, Beth, Ed<br />
<br />
== Best Practice Use Case ==<br />
* Ed: interested in interdisciplinary, datasets used together WITHIN a given application<br />
* Mark: simple, single dataset use case + complex interdisciplinary use cases<br />
* Beth: dataset interconnections circles back to data transformations<br />
* Irina: validation requires MANY different datasets being used together, shows up in separate of research papers that focus on the application vs. those that focus on validation<br />
* J.B.: discovery / search process: present datasets relevant to their problem, e.g., homeowner types in more colloquial term, interpret what the user's real concern is<br />
* Adrienne (Axiom Data Science): how do we interact with users where they know what they are getting back; users expect fancy searches, but they need to be transparent (document how they got there) - show the graph!<br />
* B. Downs: combine with location of interest <br />
* JB: maybe too big a tech lift at this point?<br />
* Mark: location is relevant, sure, but how does it <br />
* Chris: dataset used Gulf of Maine, might be useful in Puget Sound<br />
* Mark: identify desired outcome<br />
<br />
== IMPACT Use Case ==<br />
* In addition to how many, what type of use cases<br />
* Beth: Take me to the articles about the data<br />
* Irina: Data providers want to know about applications of their data; ask them if they know how their data are being used<br />
* Bob: What other data were used in conjunction with the datasets in a given climate study<br />
* JB: datasets commonly used together (Mark: closer to Beth's use case variant)<br />
* JB: IMPACT might be a roll up of lots of datasets<br />
* Mark: may want to contrast similar instrument, different algorithms, (Chris: or different platforms)<br />
* Ed: roll up by Societal Benefit Area<br />
<br />
== Next Agenda ==<br />
* Irina, Beth more graphs, how to make them<br />
* Adrienne: User story, aiming to create at the end<br />
* Ed: Using graphs for discovery, esp. related datasets, practical examples<br />
* Mark: Take one of these use cases, work a user story end to end to see what the graph looks like, including the tools<br />
* Bob: examples of graphs, something about the process we are going through, getting from here to there<br />
* Megan: Session proposal, ESIP Collaboration Slide<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67204Usage-based Data Discovery - Episode 22020-03-19T19:51:52Z<p>Clynnes: /* Notes */</p>
<hr />
<div>= Participants =<br />
* Chris Lynnes<br />
* Joe Lee<br />
* Irina Gerasimov<br />
* Adrienne<br />
* Megan Carter<br />
* Ed Armstrong<br />
* Mark Parsons<br />
* Bob Downs<br />
* Beth Huffer<br />
* Jonathon Blythe<br />
* Doug Newman<br />
* Steve Olding<br />
<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= Notes =<br />
<br />
Use Cases: Participating: Bob, Jonathon, Beth, Ed<br />
Ed: interested in interdisciplinary, datasets used together WITHIN a given application<br />
Mark: simple, single dataset use case + complex interdisciplinary use cases<br />
Beth: dataset interconnections circles back to data transformations<br />
Irina: validation requires MANY different datasets being used together, shows up in separate of research papers that focus on the application vs. those that focus on validation<br />
J.B.: discovery / search process: present datasets relevant to their problem, e.g., homeowner types in more colloquial term, interpret what the user's real concern is<br />
Adrienne (Axiom Data Science): how do we interact with users where they know what they are getting back; users expect fancy searches, but they need to be transparent (document how they got there) - show the graph!<br />
B. Downs: combine with location of interest <br />
JB: maybe too big a tech lift at this point?<br />
Mark: location is relevant, sure, but how does it <br />
Chris: dataset used Gulf of Maine, might be useful in Puget Sound<br />
Mark: identify desired outcome<br />
<br />
IMPACT Use Case:<br />
In addition to how many, what type of use cases<br />
Beth: Take me to the articles about the data<br />
Irina: Data providers want to know about applications of their data; ask them if they know how their data are being used<br />
Bob: What other data were used in conjunction with the datasets in a given climate study<br />
JB: datasets commonly used together (Mark: closer to Beth's use case variant)<br />
JB: IMPACT might be a roll up of lots of datasets<br />
Mark: may want to contrast similar instrument, different algorithms, (Chris: or different platforms)<br />
Ed: <br />
<br />
Agenda:<br />
Irina, Beth more graphs, how to make them<br />
Adrienne: User story, aiming to create at the end<br />
Ed: Using graphs for discovery, esp. related datasets, practical examples<br />
Mark: Take one of these use cases, work a user story end to end to see what the graph looks like, including the tools<br />
Bob: examples of graphs, something about the process we are going through, getting from here to there<br />
Megan: Session proposal, ESIP Collaboration Slide<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67203Usage-based Data Discovery - Episode 22020-03-19T19:51:12Z<p>Clynnes: /* Participants */</p>
<hr />
<div>= Participants =<br />
* Chris Lynnes<br />
* Joe Lee<br />
* Irina Gerasimov<br />
* Adrienne<br />
* Megan Carter<br />
* Ed Armstrong<br />
* Mark Parsons<br />
* Bob Downs<br />
* Beth Huffer<br />
* Jonathon Blythe<br />
* Doug Newman<br />
* Steve Olding<br />
<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= Notes =<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67202Usage-based Data Discovery - Episode 22020-03-19T18:57:02Z<p>Clynnes: </p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= Notes =<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67201Usage-based Data Discovery - Episode 22020-03-19T18:39:26Z<p>Clynnes: /* Current Actions */</p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Sample_graphs&diff=67200Sample graphs2020-03-19T18:38:49Z<p>Clynnes: </p>
<hr />
<div>= NASA EOSDIS Sample Graphs =<br />
* Small sample (1 dataset): [[File:Trmm3b42.xml]]<br />
* All the datasets (18 MB): [[File:Allthethings.xml]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Sample_graphs&diff=67199Sample graphs2020-03-19T18:38:31Z<p>Clynnes: </p>
<hr />
<div>= NASA EOSDIS Sample Graphs =<br />
* Small sample (1 dataset): [[File:Trmm3b42.xml]]<br />
* All the datasets (18 MB): [[File:Allthethings.xm]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Sample_graphs&diff=67198Sample graphs2020-03-19T18:37:05Z<p>Clynnes: Created page with "= NASA EOSDIS Sample Graphs = * Small sample (one dataset) * All the datasets (18 MB)"</p>
<hr />
<div>= NASA EOSDIS Sample Graphs =<br />
* [[File:Trmm3b42.xml|Small sample (one dataset)]]<br />
* [[File:Allthethings.xml|All the datasets (18 MB)]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:Trmm3b42.xml&diff=67197File:Trmm3b42.xml2020-03-19T18:33:22Z<p>Clynnes: Graphml of one NASA EOSDIS dataset (TRMM 3B42)</p>
<hr />
<div>Graphml of one NASA EOSDIS dataset (TRMM 3B42)</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=File:Allthethings.xml&diff=67196File:Allthethings.xml2020-03-19T18:32:29Z<p>Clynnes: GraphML of NASA EOSDIS datasets</p>
<hr />
<div>GraphML of NASA EOSDIS datasets</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67195Usage-based Data Discovery - Episode 22020-03-19T18:29:34Z<p>Clynnes: /* Agenda */</p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* In Progress: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* [[Sample graphs]]<br />
* Any other business?<br />
* Agenda for next telecon…<br />
<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67193Usage-based Data Discovery - Episode 22020-03-19T16:26:14Z<p>Clynnes: </p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* In Progress: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
** <Your use case here><br />
* Sample graphs<br />
* Any other business?<br />
* Agenda for next telecon…<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67192Usage-based Data Discovery - Episode 22020-03-19T16:25:50Z<p>Clynnes: </p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* In Progress: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
** '''Best Practice Use Case:''' Which rainfall dataset is most often used for flood prediction?<br />
** '''Impact Use Case:''' How many climate studies use TRMM 3B42 rainfall?<br />
* Sample graphs<br />
* Any other business?<br />
* Agenda for next telecon…<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67191Usage-based Data Discovery - Episode 22020-03-19T16:14:36Z<p>Clynnes: /* Current Actions */</p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* In Progress: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
* Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
* Sample graphs<br />
* Any other business?<br />
* Agenda for next telecon…<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Research_prov_model_info_on_use_of_W3C_Prov_model&diff=67190Research prov model info on use of W3C Prov model2020-03-18T21:49:26Z<p>Clynnes: Created page with "PROV RDF for data generation and use (contributed by Jonathon Blythe) <pre> <prov:entity prov:id=123451> <prov:label>Research Plan</prov:label> <prov:type>plan</prov:type> <..."</p>
<hr />
<div>PROV RDF for data generation and use<br />
(contributed by Jonathon Blythe)<br />
<pre><br />
<prov:entity prov:id=123451><br />
<prov:label>Research Plan</prov:label><br />
<prov:type>plan</prov:type><br />
</prov:entity><br />
<prov:agent prov:id=123452><br />
<prov:title>researcher 1</prov:title><br />
</prov:agent><br />
<prov:activity prov:id=123453><br />
<prov:startTime> 2001-01-01 </prov:startTime><br />
<prov:endTime> 2001-12-31 </prov:endTime><br />
<prov:label>research activity</prov:label><br />
</prov:activity><br />
<prov:wasAssociatedWith><br />
<prov:activity prov:ref=123453><br />
<prov:agent prov:ref=123452><br />
<prov:plan prov:ref=123451><br />
<prov:label>research task</prov:label><br />
</prov:wasAssociatedWith><br />
<prov:entity prov:id=123454><br />
<prov:label>research data</prov:label><br />
</prov:entity><br />
<prov:wasGeneratedBy><br />
<prov:entity prov:ref=123454><br />
<prov:activity prov:ref=123453><br />
<prov:time>2001-12-31</prov:time><br />
</prov:wasGeneratedBy><br />
<prov:usage prov:id=123455><br />
<prov:label>contribution</prov:label><br />
</prov:usage><br />
<prov:entity prov:id=123456><br />
<prov:label>reusedInformation</prov:label><br />
</prov:entity><br />
<prov:wasDerivedFrom><br />
<prov:generatedEntity prov:ref=123456><br />
<prov:usage prov:ref=1234565><br />
<prov:usedEntity prov:ref=123454><br />
<prov:activity prov:ref=123457><br />
<prov:agent prov:ref=123458><br />
</prov:wasDerivedFrom><br />
<prov:activity prov:id=123457><br />
<prov:endTime> 2018-01-01 </prov:endTime><br />
<prov:label>synthesis</prov:label><br />
</prov:activity><br />
<prov:agent prov:id=123458><br />
<prov:title>analyst 1</prov:title><br />
</prov:agent><br />
</pre></div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Usage-based_Data_Discovery_-_Episode_2&diff=67189Usage-based Data Discovery - Episode 22020-03-18T21:00:46Z<p>Clynnes: Created page with "= Participants = * TBD = Current Actions = * Done: Lynnes - write up some text for Megan's newsletter * Done: Lynnes set up regular meeting with ESIP G2M, some time other th..."</p>
<hr />
<div>= Participants =<br />
* TBD<br />
= Current Actions =<br />
* Done: Lynnes - write up some text for Megan's newsletter<br />
* Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday<br />
* TBD - spin off a subgroup to work on use cases<br />
* Lynnes/Newman - generate a sample export of EOSDIS knowledge graph<br />
Done: Blythe - provide [[research_prov_model info on use of W3C Prov model]]<br />
= Agenda =<br />
* Use cases for connecting Data with Usage<br />
* Sample graphs<br />
* Any other business?<br />
* Agenda for next telecon…<br />
= New Actions =</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67188Discovery Cluster2020-03-18T20:44:47Z<p>Clynnes: </p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based_Data_Discovery_-_1st_meeting|Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Click on: https://www.gotomeeting.com/join/131281357<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynneshttps://wiki.esipfed.org/w/index.php?title=Discovery_Cluster&diff=67187Discovery Cluster2020-03-18T20:41:06Z<p>Clynnes: /* What's New */</p>
<hr />
<div>__NOTOC__<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="#FFFFFF"<br />
|bgcolor="lightgreen" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===What's New ===<br />
* 2020-03-19: [[Usage-based Data Discovery - Episode 2]]<br />
* 2020-02-27: [[Usage-based Data Discovery - Episode 1]]<br />
* 2020-02-17: Rebooting...<br />
* 2017-11-03: [[Winter Plenary Planning 2018]]<br />
Discovery_Cluster_Winter_Plenary_Planning_2018<br />
* 2017-01-02: '''Search Relevancy Mission Statement'''<br />
** Finding earth science data has been a challenging problem given both the quantity of data available and the heterogeneity of the data across a wide variety of domains. The ESIP Discovery Cluster plans to explore this topic in greater detail this year, by evaluating and documenting a variety of different approaches to improving search relevancy for earth science data. It is expected that lessons learned may come from hands-on implementations of different data discovery efforts such as NOAA’s OneStop project, NASA’s Common Metadata Repository (CMR), EarthData Search, ESRI’s Geoportal, as well as other community driven solutions.<br />
* [[Discovery Cluster 2017 Minutes]]<br />
* [[Discovery Cluster Archive Posts]]<br />
|bgcolor="lightblue" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Contrib===<br />
* [[SearchRelevancyMission | Mission Statement for Improving Search Relevancy]]<br />
* [[WebServiceMission | Mission Statement for Web Services]]<br />
** Scenarios for Machine Actionable Links<br />
*** [[MachineActionableLinkScenarios | Scenario compilation ]]<br />
** [[Web Service Validators]]<br />
* [[Discovery_Change_Proposals#Incubation_Ideas | Ideas for new Discovery specifications]]<br />
* Discovery services<br />
** [[Discovery_OpenSearch_Services | OpenSearch Services]]<br />
** [[Discovery_DataCasting_Services | DataCasting Services]]<br />
** [[Discovery_ServiceCasting_Services | ServiceCasting Services]]<br />
* [[Discovery Clients]]<br />
* [[Discovery_Webinar_Materials | Discovery Webinar Materials]]<br />
* [[Discovery_White_Paper | EarthCube White paper from the Discovery Cluster]]<br />
|}<br />
{| width="100%" cellpadding="0" cellspacing="0" style="zborder-top:1px solid #aaaaaa; border-collapse: collapse;" <br />
|- valign="top" bgcolor="pink"<br />
|bgcolor="pink" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
===Resources===<br />
* Open Source Code Repositories related to Search Relevancy<br />
** [https://github.com/cires-ncei/onestop OneStop Project]<br />
** [https://github.com/nasa/earthdata-search Earthdata Search]<br />
** [https://github.com/Esri/geoportal-server ESRI Geoportal]<br />
** [https://github.com/mudrod/mudrod NASA AIST MUDROD Project]; Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access project funded by NASA AIST (NNX15AM85G)<br />
<br />
* [http://wiki.esipfed.org/index.php/File:Relevancy_Heuristics.ppt Lynnes Presentation on Search Heuristics]<br />
<br />
* [[Discovery Cluster Resource Archive]]<br />
|bgcolor="#FFFFBB" style="border: 1px solid gray;padding-left:0.5em;padding-right:0.5em;" width="50%"|<br />
<br />
=== Get Involved===<br />
* '''Email List:''' [http://lists.esipfed.org/mailman/listinfo/esip-discovery ESIP-Discovery Cluster]<br />
* '''Email archive:''' [http://lists.esipfed.org/pipermail/esip-discovery/ ESIP-Discovery Email Archive]<br />
* '''[[Discovery_Telecons|Telecons:]]'''<br />
** 3rd Thursday of the Month, 3:00-4;00 Eastern Time<br />
** Click on: https://www.gotomeeting.com/join/131281357<br />
** You can also dial in using your phone: United States: +1 (224) 501-3312<br />
** Access Code: 131-281-357<br />
* '''Contact Cluster Coordinators:''' <br />
** Usage-based Discovery: [[User:clynnes | Chris Lynnes]]<br />
** Search Relevancy: [[User:dneufeld | Dave Neufeld]] <br />
** OpenSearch: [[User:Dnewman | Doug Newman]] <br />
* '''[[Discovery_Governance | Governance]]<br />
** [[Discovery Governance Process Steps | Process]]<br />
** [[Discovery Change Proposals | Change Proposals]]<br />
** [[Discovery Editors | Editors]]<br />
|}<br />
<br />
[[category:CollabArea]]</div>Clynnes