Search results
From Earth Science Information Partners (ESIP)
- Data science questions for the survey (section Data Science Use Cases and Questions that the Survey should consider)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 know834 bytes (95 words) - 13:11, August 23, 2013
- Welcome to the Data Study working group area.5 KB (8 words) - 12:58, January 26, 2017
- Throughout the Data Life Cycle. With increasing attention being paid to data systems interoperability both within and across science disciplines, the ESIP Federation5 KB (626 words) - 18:02, November 11, 2021
- Lead(s): Lynnes Description: Earth Science Collaboratory Charrette* We will begin to outline the feature list for the Earth Science Collaboratory. As a starting11 KB (1,119 words) - 21:47, July 20, 2012
- Summer 2011 Meeting - Session Details (section Technology Infusion for the Decadal Survey Era: Data Quality Capability Needs)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 cases24 KB (3,299 words) - 15:41, August 31, 2012
- 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 addition4 KB (553 words) - 09:25, December 7, 2013
- 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 listed4 KB (668 words) - 15:15, March 24, 2016
- Tuesday, July 17th NEW** Pre-Workshop Survey: http://www.surveygizmo.com/s3/965693/ESIP-Evaluation-Pre-Workshop-Questions917 bytes (27 words) - 18:11, June 28, 2012
- System Science Data-type and Service Ontologies AccessData: Creating and educational module using the Air Quality Cluster data Water Management Cluster Meeting12 KB (1,571 words) - 21:34, August 31, 2012
- investigate the need for and feasibility of conducting a Data Decadal Survey (http://wiki.esipfed.org/index.php/Data_Decadal_Survey). The survey would address9 KB (1,442 words) - 21:32, July 1, 2013
- Draft Survey Instrument (section General Questions)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 mission4 KB (602 words) - 09:18, September 25, 2007
- interactions of the various subsystems that can influence sensor/equipment reliability and data quality. Science questions/objectives should drive the placement/separation19 KB (2,521 words) - 13:55, March 28, 2016
- cases 6. Survey existing data analytics tools/techniques 7. Write our paper describing ... all the above Questions to think about: What is the best way2 KB (301 words) - 16:54, February 19, 2016
- http://usgeo.gov; follow the links for Documentation (top left) or for the Architecture and Data Management Working Group (at the bottom left). Who should12 KB (1,922 words) - 15:22, July 30, 2007
- 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 Thursday3 KB (323 words) - 17:37, May 23, 2013
- Supporting the Earth Science Community in Repository Discovery There remains a need for the Earth Science Community to be supported in determining the most appropriate8 KB (1,249 words) - 14:11, June 12, 2020
- letter being prepared for the ExComm recommending the ESIP endorse the ESDA Earth science data analytics definition. It is felt that having a clear ESDA5 KB (790 words) - 16:12, November 13, 2015
- another checking questions online and the third monitoring the webcast. Must account for lag time between presenter and attendees especially for video content3 KB (369 words) - 10:25, January 25, 2012
- 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 types5 KB (784 words) - 13:06, November 6, 2015
- 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 clearinghouse4 KB (714 words) - 11:57, September 29, 2015
- 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 research8 KB (1,095 words) - 08:09, April 19, 2018
- 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), which7 KB (1,022 words) - 16:52, February 5, 2016
- something else in 'data science' eg data analysis, controversial phrase - more like an application science nrc - analyasis of massive data had to determine4 KB (719 words) - 10:33, August 23, 2013
- topics like the following: What is machine learning? What can machine learning do? How is machine learning different from data science? From data analytics5 KB (265 words) - 11:30, September 14, 2021
- 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 of14 KB (2,244 words) - 09:53, October 8, 2021
- October 2017 (section Data Stewardship)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 Management8 KB (848 words) - 09:46, November 26, 2017
- Tuesday, July 17th NEW** Pre-Workshop Survey link: http://www.surveygizmo.com/s3/965693/ESIP-Evaluation-Pre-Workshop-Questions880 bytes (28 words) - 08:28, June 29, 2012
- of appreciation for survey responses ESIP Front Office Perspective on the Testbed (Carol/Erin) Importance to the Federation Options for expansion/moving6 KB (810 words) - 11:34, January 11, 2012
- 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, because5 KB (739 words) - 19:21, February 6, 2016
- 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 could6 KB (750 words) - 16:10, April 25, 2013
- into the world of successful data stewardship, examine emerging standards and trends, and provide concrete steps for managing your Earth Science data. We5 KB (833 words) - 18:02, April 13, 2011
- 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, it20 KB (2,138 words) - 18:37, November 6, 2018
- 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 involvement3 KB (456 words) - 10:58, November 5, 2020
- 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 sustainable2 KB (344 words) - 12:41, January 8, 2015
- Erin attended the Open Data Round Table supporting the Climate activities of Data.gov (data.gov/open-data-roundtables/) and the AGU Data Management Maturity7 KB (1,050 words) - 15:30, August 9, 2016
- Interoperability and Technology/Tech Dive Webinar Series (section August 10th: "Learning to love the upside down: Quarto and the two data science worlds")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 valuable49 KB (6,529 words) - 08:57, April 24, 2024
- 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 community4 KB (594 words) - 11:54, November 15, 2021
- 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 assessment6 KB (813 words) - 16:25, May 23, 2006
- NOAA’s Environmental Data Mgmt meeting, NASA Earth Science Data System Working Groups Meeting, Presented at the USGS Community for Data Integration (CDI)15 KB (1,917 words) - 12:20, February 20, 2018
- Data Maturity Matrix/meeting notes 20150302 (section Data Maturity Matrix Telecon: 2015-03-02, 3pm ET)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 data4 KB (611 words) - 17:21, March 2, 2015
- Airport Shuttle: 800-933-0097 Data Stewardship “Supporting science means supporting data” - Opinion paper submitted to EOS Data Management Training working8 KB (846 words) - 17:05, July 17, 2017
- 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://figshare3 KB (539 words) - 18:57, April 10, 2018
- 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 Committee5 KB (724 words) - 14:55, September 28, 2015
- Notes from Collaborative Strategies for Sustained Environmental Data Management workshop (Tempe, AZ Nov 2015) (section Notes from Collaborative Strategies for Sustained Environmental Data Management Workshop (Tempe, AZ Nov 2015))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 -60 KB (9,067 words) - 17:41, December 14, 2015
- ESC Charrette (section Charrette Questions)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 results5 KB (580 words) - 16:32, January 13, 2012
- 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 discipline9 KB (1,247 words) - 16:53, December 6, 2016
- across -- Earth science data analytics topics you would like to learn more about (just name it) -- Interesting new Big Data, Data science, data analytics advances4 KB (529 words) - 11:48, April 18, 2014
- Partnership Applications Archive (section Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) - ESIP-I (primarily a data center/archive))Big Data focuses on bringing Earth Observation data from remote sensing instruments via cloud computing solutions to analysis ready data for science application104 KB (12,153 words) - 07:38, May 1, 2024
- 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 "for24 KB (3,470 words) - 16:19, June 4, 2013
- 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 do178 KB (26,773 words) - 10:47, November 1, 2023