This document discusses the importance of research data management. It covers the data lifecycle and components of a data management plan. The data lifecycle includes collecting, processing, analyzing, storing, preserving, and sharing data. A data management plan outlines how data will be managed and preserved during and after a research project. It includes information about the data, metadata, data sharing policies, long-term storage, and budget. Developing a data management plan helps keep data organized, track processes, control versions, prepare data for sharing and reuse, and ensure long-term access.

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!

7. What are your data?

8. Research Data Lifecycle

9. Research Data Lifecycle

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

19. DMPTool

20. UNCG’s Data Archive Option

21. UNCG’s Data Archive Option

22. UNCG’s Data Archive Option

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