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Data curation services models:
  Johns Hopkins University

         Barbara E. Pralle
       RDAP March 23, 2012
Exploring the data curation waters

                                              JHU DMS (Ripple across domains)
       DRDC/Data Conservancy
                               (Deep Dives)
Data curation as continuum
           • Widely ranging and emerging domains
           • Existence of data standards inconsistent
Individual
Researcher • Researcher’s required to prepare dmp



               • Researchers seek to use each others’ data
 Emerging
 research
               • Researchers recognize value in aggregated data
  clusters


               • Consistent standards for data deposited
               • 3rd party management of repository or archive
 Established
communities    • Development of discovery tools


                 Note: Inspired by Palmer, C. (2011, July 7). Data Curation and Research Libraries.
                 Address at the Data Curation Symposium, Johns Hopkins University, Baltimore MD
How did we get here?
• 1995 – Digitization of Levy and Roman de la Rose collections.
• 1997 – Creation of DKC (later the Digital Research and Curation
  Center.)
• 1999 – Established the Entrepreneurial Library Program.
• 2005 – Deep curation needs explored with SDSSII. Review of
  repository infrastructure and platforms.
• 2008 - Data archiving partnerships.
• 2009 – Data Conservancy NSF award and work begins on use cases
• 2010 – DC Sustainability Team - DMP pilots
• 2011 – Launch of the JHU Data Management Services
How did we get here?
                    continued

     DRCC                           ELP
Roman de la Rose,                  Fee based
 Levy collection
                     JHU DMS      contractual
 SDSSII, Walters                service models
Data Conservancy                 Rapid service
expertise/systems                   launch
JHU Data Management Services scope
Data Management Planning while preparing an NSF proposal:
• Understand all data products
• Review operational data management
• Questionnaire
• Discuss archival data management needs and options
• Review domain repository options
• Provide JHU Data Archive information
• Clarify language and help researcher iterate a 2 page plan
JHU Data Management Services Scope
                         continued
Archiving of research data:
• In-depth data management plan preparation
• Recommend metadata standards
• Transfer data into JHU Data Archive
• Manage data for researcher so he/she can find, access, and
  use.
• Archive conducts integrity checking and format migration in
  the future.
• Archive will enable tools such as feature extraction.
JHU Data Management Services Scope
                      continued
JHU Data Management Services does not provide:
• Unlimited archiving of data over time
• Operational data management
• In-depth curation of the data
• Written data management plans for researchers to edit
• Boilerplate language for data management plans
• Not currently, data management solutions for
  encumbered data (IRB, security, etc.)
DMS launch: 3 facets of sustainability
Financial Sustainability           Human Sustainability                  Technical Sustainability
NSF Proposal/Award data            Analysis of data types across         Business school capstones
research                           domains                               analyzing storage, disaster
                                                                         recovery, and TCO
Human and hardware costs and       Pilots with researchers               Analysis of data volume and types
analysis
Budget Projections to deans        Questionnaire and process iteration   Review of technical lessons from
                                                                         past archiving partnerships
Service center model established   July 2011 launch of consultative      Hire Software developer to
to support post award services     services                              contribute to DC IRD team


Assessment meetings every 2        Recruit and hire 2 consultants        October 21011 DC instance
months                                                                   established for JHU Data Archive
Ongoing marketing of services to   Training and building knowledge       Participate in DC community agile
promote use                                                              development process
Annual recalibration of direct     Build technical team                  Pursue RFI for storage solutions to
funding model                                                            support service
Phased launch and future expansion
• Jan – June 2011 – piloted DMP support across university
• July 2011 – formal launch of NSF proposal DMP support for
  4 schools funding service
• October 2011 – established JHU Data Archive (DCS
  instance)
• Future: a) expand beyond NSF, b) expand to other schools
  across university, c) possibly provide additional operational
  data management planning, d) expansion of data archiving
  services for growing individual or domain collections, e)
  possible provision of services to other institutions who
  strategically choose not to set up their own operation
Questions?

            Thank you!


©2012 The Sheridan Libraries of The Johns Hopkins University

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Data Curation Models JHU Barbara Pralle RDAP12

  • 1. Data curation services models: Johns Hopkins University Barbara E. Pralle RDAP March 23, 2012
  • 2. Exploring the data curation waters JHU DMS (Ripple across domains) DRDC/Data Conservancy (Deep Dives)
  • 3. Data curation as continuum • Widely ranging and emerging domains • Existence of data standards inconsistent Individual Researcher • Researcher’s required to prepare dmp • Researchers seek to use each others’ data Emerging research • Researchers recognize value in aggregated data clusters • Consistent standards for data deposited • 3rd party management of repository or archive Established communities • Development of discovery tools Note: Inspired by Palmer, C. (2011, July 7). Data Curation and Research Libraries. Address at the Data Curation Symposium, Johns Hopkins University, Baltimore MD
  • 4. How did we get here? • 1995 – Digitization of Levy and Roman de la Rose collections. • 1997 – Creation of DKC (later the Digital Research and Curation Center.) • 1999 – Established the Entrepreneurial Library Program. • 2005 – Deep curation needs explored with SDSSII. Review of repository infrastructure and platforms. • 2008 - Data archiving partnerships. • 2009 – Data Conservancy NSF award and work begins on use cases • 2010 – DC Sustainability Team - DMP pilots • 2011 – Launch of the JHU Data Management Services
  • 5. How did we get here? continued DRCC ELP Roman de la Rose, Fee based Levy collection JHU DMS contractual SDSSII, Walters service models Data Conservancy Rapid service expertise/systems launch
  • 6. JHU Data Management Services scope Data Management Planning while preparing an NSF proposal: • Understand all data products • Review operational data management • Questionnaire • Discuss archival data management needs and options • Review domain repository options • Provide JHU Data Archive information • Clarify language and help researcher iterate a 2 page plan
  • 7. JHU Data Management Services Scope continued Archiving of research data: • In-depth data management plan preparation • Recommend metadata standards • Transfer data into JHU Data Archive • Manage data for researcher so he/she can find, access, and use. • Archive conducts integrity checking and format migration in the future. • Archive will enable tools such as feature extraction.
  • 8. JHU Data Management Services Scope continued JHU Data Management Services does not provide: • Unlimited archiving of data over time • Operational data management • In-depth curation of the data • Written data management plans for researchers to edit • Boilerplate language for data management plans • Not currently, data management solutions for encumbered data (IRB, security, etc.)
  • 9. DMS launch: 3 facets of sustainability Financial Sustainability Human Sustainability Technical Sustainability NSF Proposal/Award data Analysis of data types across Business school capstones research domains analyzing storage, disaster recovery, and TCO Human and hardware costs and Pilots with researchers Analysis of data volume and types analysis Budget Projections to deans Questionnaire and process iteration Review of technical lessons from past archiving partnerships Service center model established July 2011 launch of consultative Hire Software developer to to support post award services services contribute to DC IRD team Assessment meetings every 2 Recruit and hire 2 consultants October 21011 DC instance months established for JHU Data Archive Ongoing marketing of services to Training and building knowledge Participate in DC community agile promote use development process Annual recalibration of direct Build technical team Pursue RFI for storage solutions to funding model support service
  • 10. Phased launch and future expansion • Jan – June 2011 – piloted DMP support across university • July 2011 – formal launch of NSF proposal DMP support for 4 schools funding service • October 2011 – established JHU Data Archive (DCS instance) • Future: a) expand beyond NSF, b) expand to other schools across university, c) possibly provide additional operational data management planning, d) expansion of data archiving services for growing individual or domain collections, e) possible provision of services to other institutions who strategically choose not to set up their own operation
  • 11. Questions? Thank you! ©2012 The Sheridan Libraries of The Johns Hopkins University