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The Changing Research Data Paradigm

The Changing Research Data Paradigm. One agency’s response Changes to Implementation of NSF’s Data Sharing Policy. NOAA’s second annual Environmental Data Management Conference June 21, 2011 Silver Spring, MD. Proposed questions to be addressed. What is data management planning ?

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The Changing Research Data Paradigm

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  1. The Changing Research Data Paradigm One agency’s response Changes to Implementation of NSF’s Data Sharing Policy NOAA’s second annual Environmental Data Management Conference June 21, 2011 Silver Spring, MD.

  2. Proposed questions to be addressed • What is data management planning ? • Why do a plan? • How is it used throughout the DMP lifecycle? • Experience in DMP • Critical success factors • Best practices in DMP • Recommendations for NOAA as we embark on a DMP policy • Case Studies/Examples of existing plans

  3. For NSF, it will ultimately be community defined What is data management planning?

  4. A means to an end • One of a variety of tools to efficiently and effectively advance the science, improve environment stewardship, provide accountability, and uphold the tenet of transparency • A vitally important form of scientific communication • “Customers don’t go to the hardware store to buy a ¼ drill, they go to buy a ¼ hole. • Theodore Levitt, Harvard Business School

  5. There is no other option in a data-intensive science era Why do a plan?

  6. Data-intensive science

  7. Extensive Bibliography of Reference Work

  8. Time of publication Specific details General details Retirement or career change Information Content Accident Death Time (Michener et al. 1997) Poor data practice results in loss of information(data entropy)

  9. The key focus is on the full lifecycle of data of which DMP is part How is it used throughout the DMP lifecycle?

  10. Life Cycle Model from the Digital Curation Centre

  11. Life Cycle Model from ‘Harnessing the Power of Digital Data for Science and Society’

  12. ISO Digital Archive Reference Model Data Management Ingest Access Archival Storage PRODUCER CONSUMER Administration Preservation Planning MANAGEMENT Adapted from ISO 14721, Reference Model for an Open Archival Information System

  13. For NSF, it is a work in progress Experience in DMPCritical success factors Best practices in DMP

  14. Process used by NSF • The development of the new guidelines engaged internal NSF staff, the NSB, and OMB • NSB and NSF leadership continue to examine the issue • As with the Board Impacts criteria, there will be an evolution in the development of “Best Practices” within the community

  15. New Data Management Plan Requirements • All proposals are required to include, as a supplementary doc, a data management plan of up to 2 pages. • Electronic enforcement • Plan should describe how the proposal will conform to NSF policy on dissemination and sharing of research results. • A valid Data Management Plan may include only the statement that no detailed plan is needed, as long a clear justification is provided. • Plan will be reviewed as part of the intellectual merit and/or broader impacts of the proposal.

  16. Outputs are a means to achieve outcomes Recommendations for NOAA as we embark on a DMP policy

  17. Context for DMP is key • Differences in agency missions caution specific advice • Suggested pertinent questions to be considered • How will DMP be part of the full lifecycle of data? • How will the DMP contribute to NOAA’s mission? • How will the DMP make the science better?

  18. A limited set of examples and practices Case Studies/Examples of existing plans

  19. Examples and practices • IPY – formal process • http://classic.ipy.org/international/joint-committee/data-management.htm • NCAR – good practices, but yet to be developed formal plan • DDC – very good resource • http://www.dcc.ac.uk/ http://classic.ipy.org/international/joint-committee/data-management.htm

  20. Commentsand/orQuestions Where discoveries begin

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