ESIP Federation: Community-Driven, Collaborative Governance Carol Beaton Meyer Presentation at Research Data Access & Preservation Summit 22 March 2012

1. ESIP Federation: Community-Driven,
Collaborative Governance
Carol Beaton Meyer
Research Data Access and Preservation Summit 2012
March 22, 2012

2. About ESIP
 Formed in 1998 by NASA
 ~140 Members (2012)
 Representing multi-agency, sector, science domains
 Forum for Practitioners to Exchange Knowledge, Share
Technologies and Collaborate on Research
 ESIP Ethos
 Community-Driven (self-forming groups)
 Open
 Collaborative
 Participatory
 Innovative

3. What Drives ESIP Community?
 Desire for Interoperability
 Best Practices (from consensus)
 Leverage Expertise and Resources of Others

4. Community-Driven Data Management
Case Study 1: Data Identifiers
 Used Testbed to Evaluate Various Identifier Schemes
 DOI, LSID, OID, PURL, ARK, UUID, XRI, Handles, URI/URN/URL
 Evaluated each against set criteria
 http://bit.ly/wSJFCA
 Governance:
 Community-defined problem
 Developed review criteria
 Each identifier reviewed against established criteria
 Community analysis of results
 Published Results in Journal of Earth Science Informatics, Volume 4,
Number 3, 139-160, DOI: 10.1007/s12145-011-0083-6
 Implementation/Additional Testing Through California Digital Library

5. Community-Driven Data Management
Case Study 2: Data Citation Guidelines
 Citation Guidelines for Data Providers
 Governance
 Community-need identified
 Used existing best practices (IPY Citation work) as baseline
 Iterative process within Data Preservation & Stewardship Cluster
 Broader ESIP community review (input sought & provided)
 Guidelines (best practices) adopted by ESIP Assembly, January 2012
 Core Elements
 Author(s)
 Release Date
 Title
 Version
 Archive and/or Distributor
 Locator/Identifier
 Access Date and Time
 Full Guidelines: http://bit.ly/q0sz80

6. Community-Driven Data Management
Case Study 3: Discovery Conventions
 Data centers using different discovery services
 OpenSearch, DataCasting, ServiceCasting Services
 Issues: interoperability, differing standards, distributed orgs
 Goal: develop usable and simple solutions that leverage
existing standards, conventions and technologies, that have a
high likelihood of voluntary adoption
 Governance – adopted by community (bottom up approach)
 Submit
 Review
 Revisions
 Vote
 Ratify/Reject
 Recommendations for Adoption

7. ESIP Community Resources
 ESIP Governance -
wiki.esipfed.org/index.php/Federation_Documents
 Wiki Workspace – wiki.esipfed.org
 ESIP Commons – coming Spring 2012
 Next ESIP Meetings
 July 17-20, 2012 in Madison, Wisconsin
 January 9-11, 2013 in Washington, DC
 Join the community discussions
 http://esipfed.org/collaboration-areas

8. Contact
 Carol Meyer
 carolbmeyer@esipfed.org
 919.870.7140

9. Extra Slides

10. Community-Driven Data Management
Case Study: Data Management Short Course
 Two-year Volunteer Effort
 Phase 1 – aimed at scientists
 Phase 2 – aimed at data managers
 Drew expertise from ESIP community
 Course Outline
 The case for data stewardship
 Data management plans
 Local data management
 Preservation strategies
 Responsible data use
 Governance
 Community-identified need/opportunity
 Trial workshop at 2010 AGU
 Defined scope of content
 Volunteers drafted short modules
 Peer review and editorial review
 http://bit.ly/pTpe1k

11. Community-Driven Data Management
Case Study: Data Stewardship Principles
 Preservation and Stewardship Cluster Considered:
 Existing member data policies (NASA, NOAA, etc.)
 Other organizations’ policies (CODATA, GEO, etc.)
 Data Creators, Data Intermediaries and Data Users
 Consensus Document
 f
 Home institution policies supersede
 Room for commercialization
 Adopted in January 2012
 http://bit.ly/xOWS7e