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Research Data Management
SOE Graduate Students
4/1/2015
Adapted from CC slidedeck by DataONE. DataONE Education Module: Data Management. DataONE. Retrieved August 5, 2014. From
http://www.dataone.org/sites/all/documents/L01_DataManagement.pptx
Topics
• Importance of data management
• The data lifecycle
• The data management plan
CC image by interpunct on Flickr
Data Deluge
• Data collected in variety
of ways
• Science data
• Social science data
• Humanities data
Data Loss
• Natural disasters
• Storage failure
• Server/hardware/software failure
• Format obsolescence
• Human error
• Malicious attack
• Loss of staffing competencies
• Loss of institution/financial
commitment
• Changes in user expectations
CCimagebySharynMorrowonFlickr
Why Manage Data?
• Data Sharing and Management Snafu in 3 Short Acts: A data
management horror story by Karen Hanson, Alisa Surkis and Karen
Yacobucci.
• http://www.youtube.com/watch?v=N2zK3sAtr-4
• Moral: Document your data & processes!
Why Manage Data?
• Keep yourself organized
• Track your processes for reproducibility
• Better control versions of data
• Format your data for re-use
• Document your data for your own recollection, accountability, and re-
use
• Prepare it to share it
• Gain credibility and recognition for your research efforts!
What are your data?
Research Data Lifecycle
Research Data Lifecycle
What is a DMP?
• Formal document
• Outlines what you will do with
your data during and after you
complete your research
• Ensures your data is safe for the
present and the future
• Required by most funding
agencies
From the University of Virginia Library
Why prepare a DMP?
• Save time
• Less reorganization later
• Increase research efficiency
• Ensures you and others will be able to understand and use data in future
• Easier to preserve your data
• Prevents duplication of effort
• Increases visibility of research
• Makes research and data more relevant
• Funding agency requirement
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Metadata Defined
• Documentation and reporting of data
• Contextual details: Critical information about the dataset
• Information important for using the data
• Descriptions of temporal and spatial details, instruments, parameters,
units, files, etc.
• Examples: http://library.tulane.edu/researchers/metadata
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
Components of a DMP
1. Information about data & data format
2. Metadata content and format
3. Policies for access, sharing and re-use
4. Long-term storage and data management
5. Budget
NSF DMP Requirements
From Grant Proposal Guidelines:
Plans for data management and sharing of the products of research. Proposals
must include a supplementary document of no more than two pages labeled “Data
Management Plan”. This supplement should describe how the proposal will
conform to NSF policy on the dissemination and sharing of research results (in
AAG), and may include:
1. The types of data, samples, physical collections, software, curriculum materials, and
other materials to be produced in the course of the project
2. The standards to be used for data and metadata format and content (where existing
standards are absent or deemed inadequate, this should be documented along with
any proposed solutions or remedies)
3. Policies for access and sharing including provisions for appropriate protection of
privacy, confidentiality, security, intellectual property, or other rights or requirements
4. Policies and provisions for re-use, re-distribution, and the production of derivatives
5. Plans for archiving data, samples, and other research products, and for preservation of
access to them
DMPTool
UNCG’s Data Archive Option
UNCG’s Data Archive Option
UNCG’s Data Archive Option
Resources and References
• UNCG’s Research Data Management Guide: http://uncg.libguides.com/rdm
• DataONE Education Module: Data Management Planning. DataONE. Retrieved Nov12,
2012. From
http://www.dataone.org/sites/all/documents/L03_DataManagementPlanning.pptx
• University of Virginia Library http://www2.lib.virginia.edu/brown/data/plan.html
• Digital Curation Centre http://www.dcc.ac.uk/resources/data-management-plans
• University of Michigan Library http://www.lib.umich.edu/research-data-management-
and-publishing-support/nsf-data-management-plans#directorate_guide
• NSF Grant Proposal Guidelines
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp
• Inter-University Consortium for Political and Social Research
http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/index.jsp
• DataONE http://www.dataone.org/plans
Questions and Comments?
Lynda Kellam, lmkellam@uncg.edu

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Research Data Management for SOE

  • 1. Research Data Management SOE Graduate Students 4/1/2015 Adapted from CC slidedeck by DataONE. DataONE Education Module: Data Management. DataONE. Retrieved August 5, 2014. From http://www.dataone.org/sites/all/documents/L01_DataManagement.pptx
  • 2. Topics • Importance of data management • The data lifecycle • The data management plan CC image by interpunct on Flickr
  • 3. Data Deluge • Data collected in variety of ways • Science data • Social science data • Humanities data
  • 4. Data Loss • Natural disasters • Storage failure • Server/hardware/software failure • Format obsolescence • Human error • Malicious attack • Loss of staffing competencies • Loss of institution/financial commitment • Changes in user expectations CCimagebySharynMorrowonFlickr
  • 5. Why Manage Data? • Data Sharing and Management Snafu in 3 Short Acts: A data management horror story by Karen Hanson, Alisa Surkis and Karen Yacobucci. • http://www.youtube.com/watch?v=N2zK3sAtr-4 • Moral: Document your data & processes!
  • 6. Why Manage Data? • Keep yourself organized • Track your processes for reproducibility • Better control versions of data • Format your data for re-use • Document your data for your own recollection, accountability, and re- use • Prepare it to share it • Gain credibility and recognition for your research efforts!
  • 10. What is a DMP? • Formal document • Outlines what you will do with your data during and after you complete your research • Ensures your data is safe for the present and the future • Required by most funding agencies From the University of Virginia Library
  • 11. Why prepare a DMP? • Save time • Less reorganization later • Increase research efficiency • Ensures you and others will be able to understand and use data in future • Easier to preserve your data • Prevents duplication of effort • Increases visibility of research • Makes research and data more relevant • Funding agency requirement
  • 12. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 13. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 14. Metadata Defined • Documentation and reporting of data • Contextual details: Critical information about the dataset • Information important for using the data • Descriptions of temporal and spatial details, instruments, parameters, units, files, etc. • Examples: http://library.tulane.edu/researchers/metadata
  • 15. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 16. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 17. Components of a DMP 1. Information about data & data format 2. Metadata content and format 3. Policies for access, sharing and re-use 4. Long-term storage and data management 5. Budget
  • 18. NSF DMP Requirements From Grant Proposal Guidelines: Plans for data management and sharing of the products of research. Proposals must include a supplementary document of no more than two pages labeled “Data Management Plan”. This supplement should describe how the proposal will conform to NSF policy on the dissemination and sharing of research results (in AAG), and may include: 1. The types of data, samples, physical collections, software, curriculum materials, and other materials to be produced in the course of the project 2. The standards to be used for data and metadata format and content (where existing standards are absent or deemed inadequate, this should be documented along with any proposed solutions or remedies) 3. Policies for access and sharing including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, or other rights or requirements 4. Policies and provisions for re-use, re-distribution, and the production of derivatives 5. Plans for archiving data, samples, and other research products, and for preservation of access to them
  • 23. Resources and References • UNCG’s Research Data Management Guide: http://uncg.libguides.com/rdm • DataONE Education Module: Data Management Planning. DataONE. Retrieved Nov12, 2012. From http://www.dataone.org/sites/all/documents/L03_DataManagementPlanning.pptx • University of Virginia Library http://www2.lib.virginia.edu/brown/data/plan.html • Digital Curation Centre http://www.dcc.ac.uk/resources/data-management-plans • University of Michigan Library http://www.lib.umich.edu/research-data-management- and-publishing-support/nsf-data-management-plans#directorate_guide • NSF Grant Proposal Guidelines http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/gpg_2.jsp#dmp • Inter-University Consortium for Political and Social Research http://www.icpsr.umich.edu/icpsrweb/ICPSR/dmp/index.jsp • DataONE http://www.dataone.org/plans
  • 24. Questions and Comments? Lynda Kellam, lmkellam@uncg.edu