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Symposium on Global Scientific Data Infrastructures Panel Two: Stakeholder Communities in the DWFAnn Wolpert, Massachusetts Institute of Technology Board on Research Data and InformationPolicy and Global Affairs Division, National Academy of SciencesNational Academy of Sciences, Washington, DCWednesday, August 29, 2012

three stakeholder perspectives
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
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Six broad priority changes

Data no longer a private preserve

Give credit for data communication and collaboration

Develop common standards for communicating data

Mandate “intelligent openness” for data relevant of published papers

Strengthen the cohort of data scientists

Develop new software tools to automate and simplify the creation and exploitation of data sets

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Recommendation 2

Universities and research institutes should play a major role in supporting an open data culture

Value data communication as an academic criterion

Develop a data strategy and local capacity to curate own knowledge resources and support data needs

Stipulate open data as a default

digital preservation perspective
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
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Celebrate progress, consolidate lessons learned, plan for the future

Six lenses/aspects of alignment:

Legal

Organizational

Standards

Technical

Economic

Education

Two keys to successful collaboration:

Plan broad goals for collaboration

Build on existing relationships

some elements of the existing digital preservation ecosystem
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
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
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
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 foropen 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 organizations1
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 organizations2
How could DWF benefit research organizations?
  • Identify core practices for data management planning and evaluation for sponsored research:
    • Identifymodel data management plan elements and criteriafor 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