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Leveraging the DMP Tool
for Research Data Management
What is the DMP Tool,
why use it,
and how?
Technology Brown Bag @ HS/HSL
Brian Zelip / http://slideshare.net/zelip
Brief Overview of the DMP Tool
• http://DMPtool.org
• Meetings began January 2011 in response to increasing requirements
• 8 initial partners (see below) provided in-kind leg work
• Based in the University of California Curation Center then & now
• v1 released October 2011
• v2 released May 2014
• Currently 176 partners and growing
The DMP Tool…
Centralizes the current data
management requirements of major
research funding agencies
Provides a CMS-like experience for
writing/updating/collaborating on a
data management plan
Supports data management planning
through templates, examples,
information resources, and more
Provides an open RESTful API so
software developers can create web
services from DMP Tool data
The DMP Tool does not…
store,
share,
review,
access, etc., research data
Data management plan?
• a comprehensive plan of how research data will be managed
throughout the lifecycle of the research project.
• often submitted as part of grant application
• includes a description of how data will be shared (or why it can’t)
• typically 2-3 pages
What goes into a data management plan?
Varies from project to project and funder to funder.
Funders require less info than data management best practices.
In general DMPs describe:
• the type(s) of data to be generated
• relevant data and metadata standards
• policies for access, sharing, and use
• archiving and preservation
Advantages of data management planning
• Good science (reproducible results)
• Transparency and accountability
• Gain competitive edge in grant competition
• Increase the impact of scholarship by making data citable and
reusable
• Helps to minimize data loss, be more efficient
• Helps with the complexity of data (infrastructure, policy, standards,
practices, technology, etc.)
• Required by funder/institution/publisher
The larger
#RDM
context
“The OSTP hereby directs each Federal agency [...] to develop a
plan to support increased public access to the results of research
funded by the Federal Government.”
“DATA
MANAGEMENT!”
“DATA
SHARING!”
“PUBLIC
ACCESS!”
Different agency language, same meaning
NIH-specific DMP-related information
• Data Sharing Overview:
http://grants.nih.gov/grants/policy/data_sharing
• Data Sharing Policy and Implementation Guidance:
http://grants.nih.gov/grants/policy/data_sharing/data_sharing_guida
nce.htm
• Genomic Data Sharing:
https://gds.nih.gov/index.html
• Guidance for Investigators in Developing Genomic Data Sharing Plans:
https://gds.nih.gov/pdf/NIH_guidance_developing_GDS_plans.pdf
• Full list of NIH sharing policies by Institute:
http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_policies.html
• Sample plan from NIH:
http://grants.nih.gov/grants/sharing_example_data_sharing_plan.doc
Also important is the global momentum
towards open science and access
[HANDS-ON DEMO]

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Leveraging the dmp tool

  • 1. Leveraging the DMP Tool for Research Data Management What is the DMP Tool, why use it, and how? Technology Brown Bag @ HS/HSL Brian Zelip / http://slideshare.net/zelip
  • 2. Brief Overview of the DMP Tool • http://DMPtool.org • Meetings began January 2011 in response to increasing requirements • 8 initial partners (see below) provided in-kind leg work • Based in the University of California Curation Center then & now • v1 released October 2011 • v2 released May 2014 • Currently 176 partners and growing
  • 3. The DMP Tool… Centralizes the current data management requirements of major research funding agencies Provides a CMS-like experience for writing/updating/collaborating on a data management plan Supports data management planning through templates, examples, information resources, and more Provides an open RESTful API so software developers can create web services from DMP Tool data
  • 4. The DMP Tool does not… store, share, review, access, etc., research data
  • 5. Data management plan? • a comprehensive plan of how research data will be managed throughout the lifecycle of the research project. • often submitted as part of grant application • includes a description of how data will be shared (or why it can’t) • typically 2-3 pages
  • 6. What goes into a data management plan? Varies from project to project and funder to funder. Funders require less info than data management best practices. In general DMPs describe: • the type(s) of data to be generated • relevant data and metadata standards • policies for access, sharing, and use • archiving and preservation
  • 7. Advantages of data management planning • Good science (reproducible results) • Transparency and accountability • Gain competitive edge in grant competition • Increase the impact of scholarship by making data citable and reusable • Helps to minimize data loss, be more efficient • Helps with the complexity of data (infrastructure, policy, standards, practices, technology, etc.) • Required by funder/institution/publisher
  • 9. “The OSTP hereby directs each Federal agency [...] to develop a plan to support increased public access to the results of research funded by the Federal Government.”
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  • 12. NIH-specific DMP-related information • Data Sharing Overview: http://grants.nih.gov/grants/policy/data_sharing • Data Sharing Policy and Implementation Guidance: http://grants.nih.gov/grants/policy/data_sharing/data_sharing_guida nce.htm • Genomic Data Sharing: https://gds.nih.gov/index.html • Guidance for Investigators in Developing Genomic Data Sharing Plans: https://gds.nih.gov/pdf/NIH_guidance_developing_GDS_plans.pdf • Full list of NIH sharing policies by Institute: http://www.nlm.nih.gov/NIHbmic/nih_data_sharing_policies.html • Sample plan from NIH: http://grants.nih.gov/grants/sharing_example_data_sharing_plan.doc
  • 13. Also important is the global momentum towards open science and access