Symposium on Global Scientific Data Infrastructures Panel Two: Stakeholder Communities in the DWF...
-
Upload
stephanie-rich -
Category
Documents
-
view
212 -
download
0
Transcript of Symposium on Global Scientific Data Infrastructures Panel Two: Stakeholder Communities in the DWF...
Symposium on Global Scientific Data Infrastructures
Panel Two: Stakeholder Communities in the DWFAnn Wolpert, Massachusetts Institute of Technology
Board on Research Data and Information
Policy and Global Affairs Division, National Academy of Sciences
National Academy of Sciences, Washington, DCWednesday, August 29, 2012
Three stakeholder perspectives
• University administrator– Economics of Research I institutions– Incentives
• University librarian– Information Science research program– Digital preservation – Getting to scale
• Institutional repository operator– Many media– Data management plans
Six broad priority changes1. Data no longer a private preserve2. Give credit for data communication
and collaboration3. Develop common standards for
communicating data4. Mandate “intelligent openness” for
data relevant of published papers5. Strengthen the cohort of data
scientists6. Develop new software tools to
automate and simplify the creation and exploitation of data sets
Recommendation 2
Universities and research institutes should play a major role in supporting an open data culture
1. Value data communication as an academic criterion
2. Develop a data strategy and local capacity to curate own knowledge resources and support data needs
3. Stipulate open data as a default
Digital Preservation Perspective
• Existing international community of digital preservation practice
• History of & structures for collaboration; regionally, nationally, internationally
• Mission-based with a shared purpose• Funded to support research & scholarship, and to
preserve the cultural & intellectual record• Interconnected projects; getting to scale • Constrained by intellectual property & funding
Celebrate progress, consolidate lessons learned, plan for the future
Six lenses/aspects of alignment:1. Legal2. Organizational3. Standards4. Technical5. Economic6. Education
Two keys to successful collaboration:7. Plan broad goals for collaboration8. Build on existing relationships
Some elements of the existing digital preservation ecosystem
• National Libraries collaborations• National Digital Stewardship Alliance• DuraSpace• HathiTrust• Center for Research Libraries• OCLC• International Internet Preservation Consortium• Digital Preservation Network (DPN)• Digital Public Library of America/Europeana• Linked Data• Authority files (VIAF, ORCID, etc)
Institutional Repository Perspective Things to think about
• Security and integrity• Privacy• Life cycle management• What’s “interoperability”• Who pays• Who benefits
Consider incentives that reinforce DWF mission and vision
• Funding agencies/foundations• Primary researchers• Research institutions• Scholarly journal publishers• Data publishers• “Reusers”
How could DWF benefit research organizations?
• Reduce costs of data management and access by establishing core practices for government data producers:– Minimum and recommended practice for machine-
actionable metadata, provenance, and versioning– Minimum and recommended practice for
open formats, open data licenses, data access API’s– Model contracts language for subcontractors who
collect and deliver data to government
How could DWF benefit research organizations?
• Reduce costs of compliance for confidential data use:– Model data usage agreements that enable data
interoperability in a protected environment– Establish a data privacy expert board (e.g. under
NIST) to identify safe-harbor methodologies for sharing confidential information
How could DWF benefit research organizations?
• Identify core practices for data management planning and evaluation for sponsored research:– Identify model data management plan elements and
criteria for government sponsored research – Identify minimal and recommended data citation
requirements and standard– Identify minimal and recommended practices for
tracking compliance with data management plans and citation requirements