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metadata fields to maintain. The users wanted all the metadata, but that was not sustainable. Data providers want to provide metadata for users, but don't know

Welcome to the Data Study working group area.

Throughout the Data Life Cycle. With increasing attention being paid to data systems interoperability both within and across science disciplines, the ESIP Federation

Lead(s): Lynnes Description: Earth Science Collaboratory Charrette* We will begin to outline the feature list for the Earth Science Collaboratory. As a starting

to meet the technology needs of data systems for the decadal survey era missions. The focus at ESIP will be three key challenges arising from the use cases

that will be made to the National Academy Board on Research Data and Information (BRDI) in relation to a call for a science data enterprise study. In addition

like considered for the survey. We concluded the telecon talking about the next piece of work we have to do. That is: Associate the tools/techniques listed

Tuesday, July 17th NEW** Pre-Workshop Survey: http://www.surveygizmo.com/s3/965693/ESIP-Evaluation-Pre-Workshop-Questions

System Science Data-type and Service Ontologies AccessData: Creating and educational module using the Air Quality Cluster data Water Management Cluster Meeting

investigate the need for and feasibility of conducting a Data Decadal Survey (http://wiki.esipfed.org/index.php/Data_Decadal_Survey). The survey would address

in science and to increase the quality and value of Earth science products and services for the benefit of science and society. a. What part of the mission

interactions of the various subsystems that can influence sensor/equipment reliability and data quality. Science questions/objectives should drive the placement/separation

cases 6. Survey existing data analytics tools/techniques 7. Write our paper describing ... all the above Questions to think about: What is the best way

http://usgeo.gov; follow the links for Documentation (top left) or for the Architecture and Data Management Working Group (at the bottom left). Who should

section on the Panel Discussion wiki page to define the questions for the panelists, here: Questions_for_the_Panel. The June telecon will be the 3rd Thursday

Supporting the Earth Science Community in Repository Discovery There remains a need for the Earth Science Community to be supported in determining the most appropriate

letter being prepared for the ExComm recommending the ESIP endorse the ESDA Earth science data analytics definition. It is felt that having a clear ESDA

another checking questions online and the third monitoring the webcast. Must account for lag time between presenter and attendees especially for video content

definition for Earth Science Data Analytics is: The process of examining large amounts of spatial (3D), temporal, and/or spectral data of a variety of data types

send out a DataONE webinar that will help in reviewing the “Open Science Framework” (the webinar will be on October 13). The domain focus for the clearinghouse

coincided with the dawn of the age of desktop computers to the dawn of the age of mobile devices, I've had to write most of my own software for the research

to a Booz Allen paper entitled: The Field Guide to Data Science (http://www.boozallen.com/insights/2015/12/data-science-field-guide-second-edition), which

something else in 'data science' eg data analysis, controversial phrase - more like an application science nrc - analyasis of massive data had to determine

topics like the following: What is machine learning? What can machine learning do? How is machine learning different from data science? From data analytics

that exposes science data stores, such as HDF and NetCDF files, in the web way. It implements the Webification-Science (w10n-sci) API. The core idea of

look for an online home for the P&Ps as well as document management of same. Data Management Training WG - testing a new submission form for the Data Management

Tuesday, July 17th NEW** Pre-Workshop Survey link: http://www.surveygizmo.com/s3/965693/ESIP-Evaluation-Pre-Workshop-Questions

of appreciation for survey responses ESIP Front Office Perspective on the Testbed (Carol/Erin) Importance to the Federation Options for expansion/moving

being, of the three types of ESDA, Data Preparation, Data Reduction, and Data Analysis, the latter is the most difficult to develop an approach for, because

on why or why not do a survey why we believe is worthwhile our view of survey purpose here are goals for session questions for the panel what gaps could

into the world of successful data stewardship, examine emerging standards and trends, and provide concrete steps for managing your Earth Science data. We

that free text questions can be time consuming for users to answer, so you should make sure that the questions add value to the survey. Additionally, it

at Geological Survey of Alabama, Candidate for Vice President It is an honor to have been nominated for the position of Vice President for ESIP. My involvement

will develop a template for use cases (i.e. what are the metadata that we want to collect) - The problem - The ESIP setting for the problem - What is a sustainable

Erin attended the Open Data Round Table supporting the Climate activities of Data.gov (data.gov/open-data-roundtables/) and the AGU Data Management Maturity

of contents in the browser. Within this, what makes a great data product? "Our data model is the Web" People will deal with messy data if it's super valuable

Geological Survey of Alabama, Candidate for Vice President I would be honored to continue to serve the ESIP community as Vice President for 2022. The ESIP community

advised to check data carefully and recalibrate. C= Data are uncalibrated. U= Data quality is unknown. If a resource does not provide a data quality assessment

NOAA’s Environmental Data Mgmt meeting, NASA Earth Science Data System Working Groups Meeting, Presented at the USGS Community for Data Integration (CDI)

with data manager to develop a set of questions. These questions are survey-like, so that the results can be evaluated against the matrix without the data

Airport Shuttle: 800-933-0097 Data Stewardship “Supporting science means supporting data” - Opinion paper submitted to EOS Data Management Training working

Agenda: Leveraging winter session for Coding in the classroom - Notes from the session are at the end of the PDF Coding in the Classroom on Figshare: https://figshare

Digital Sky Survey i. What are some of the key questions that would be appropriate for us to explore? - Rama posed Qs at the Summer Meeting: Should the Committee

well-documented data? Is well-documented data the end result? We need to be explicit about the reasons for doing data management. Reasons for doing this -

on the idea of the EarthCube Charrette, we will look at the key features needed for the Earth Science Collaboratory. In fact, we will leverage the results

attended. Ruth felt the group might have the potential to be the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) for the linguistic discipline

across -- Earth science data analytics topics you would like to learn more about (just name it) -- Interesting new Big Data, Data science, data analytics advances

Big Data focuses on bringing Earth Observation data from remote sensing instruments via cloud computing solutions to analysis ready data for science application

that the modules in the "for scientists" section should really be written for the science community and not data managers. Once we've completed the "for

commercial. The only problem I have is how to get that into an open data repository. Have had problems with this for years. Where do we put the data? How do

table for the session. View the Call for Sessions for more information. SPG Technical Session on Reference Architectures for NASA Earth Science Data Systems

Challenges in managing Earth Science Data and Information (data volume, data quality, data access/search, data dissemination, data analysis in distributed environment

lack of Earth science data interoperability. Combining/Fusing data products even from the same instrument, say MODIS, (but for different science disciplines

Frequently asked questions How do I join the Federation? Organizations that can contribute to the advancement of the Federation are welcome to apply for Federation

advised to check data carefully and recalibrate. C= Data are uncalibrated. U= Data quality is unknown. If a resource does not provide a data quality assessment

Connecting the data usage challenges of Earth Scientists to the Data Scientists ability to support Earth science research through the utilization of data analytics

fusion. The Federation is an earth science innovation reactor... we bring together all the different types of expertise and different levels of data generation

table for the session. View the Call for Sessions for more information. SPG Technical Session on Reference Architectures for NASA Earth Science Data Systems

skills for the data “management” professional, Shawn recommends that we first establish the job categories for the professionals of concern, i.e., data managers

those after the Out2Lunch to do the survey Proposal: pull together some advice for PIs about how to help with education Add to the larger survey from Partnership

to the Stewardship telecon. We also have this place in the ESIP wiki. An email list has been established, see the Data Decadal Survey main page for details

intermediaries? Circles The Catalyst Ideaology The Preexisting Network The Champion O. Brafman and R. Beckstrom, The Starfish and the Spider Not all the smart people

over to talk about the possibility of holding an Earth Science Data Analytics on the first day of the summer meeting. The theme of the workshop 'could' be

communicating the value chain of earth observation data. GEO had a workshop on how to describe the value-chain for Earth observation data. The results of

interested in data management, but what is wrong with it and what needs to be fixed. Also what are the trends - big data, citizen science, how data is changing

"What is it the Federation does?". One example is the data citation guidelines that were just passed. These synopses will be registered in the ESIP iCommons

e.html). Question: How was the audience for the survey determined? User group consisted of people who are mainly involved with life sciences (a fairly

expedited by data-specific wrappers that homogenize the data into virtual data cubes. Data access adapters facilitate queries to the data cubes through

groups to use the suite more. Data Assimilation --Use with satellite data, or model data, in-situ data. Bring them all together to improve the overal output

Items 'd' through 'f' that describes the data analytics being used and technical reasons for needing the used data analytics Items 'g' through 'l' that

tension between science and science data infrastructure. 2) The author's give brief mention to users' access to data at the end of the fourth full paragraph

information Committee reviews and then posts to the wiki for 30 day assembly review voting lasts for 30 days. TYPES: I Data facilities II Products and Services (research

that role for the NOAA National Oceanographic Data Center (NODC) which I brought into ESIP in 2003, and since 2015 for the NOAA National Centers for Environmental

Open Science: working with data conservancy, taking data from "data rescuers" - pushing "rescued" data into repositories Science (have to be a member of AAAS

geospatial data. FGDC activities are hosted by the U.S. Geological Survey and allows users to: a) ascertain the fitness of the geospatial data set for an intended

made possible by the storage of Landsat data in the cloud which allows on-the-fly manipulation of data for tremendous user benefit. The EROS team is excited

caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed

org/04r0wrp59) for datasets they manage. Researchers that cannot find the appropriate organization in the list can use the ROR for the parent organization

aggregators for things like data citation develop a set of questions to help narrow the list of options based on Margaret's questions hope for consolidation

remind them of the RFP, for Data Stewardship Erin: investigate if Testbed can support a threaded forum (such as the "funding threshold for large organizations"

information about the data to help everyone Jeff will set up data on RAMADDA, will not be at hackathon Chris, Steve, Jeff, Brian will volunteer for early hackathon

estimate the fossil and contemporary EC/TC ratios for the winter and summer seasons. These ratios were applied to IMPROVE carbon data to estimate the fraction

caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed

are waiting for some changes in the new year. Each winner will be making a page for the ESIP Testbed wiki. Semantic Technology: Tom Planning for semantics

Analyses of Earth Science Data Professionals by Dr. Bishop “DACUM - Developing a Curriculum” is the approach used for the analyses. The main motivation is

be considered for award. Questions regarding the content of the announcement should be submitted through the Submit Question feature of the DOE Industry

caused by any errors or omissions in the data, nor as a result of the failure of the data to function on a particular system. NOAA makes no warranty, expressed