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Data Services: Data Management Planning

A Guide of Library Data Services

What do we mean by "Data"?

A reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing. Examples of data include a sequence of bits, a table of numbers, the characters on a page, the recording of sounds made by a person speaking, or a moon rock specimen.
CCSDS Secretariat. (2012). Reference Model for an Open Archival Information System (OAIS). Retrieved from https://public.ccsds.org/pubs/650x0m2.pdf

It Takes a Whole Library to Create a World of Data-powered Health

National Library of Medicine's Strategic Plan involving Data

NIH Strategic Plan for Data Science

What is a Data Management Plan?

A data management plan should be developed during the Process and Methods stage of the Data Life Cycle.  Creating a plan before collecting and analyzing data will save time later in the project.

Benefits of a data management plan:

  • Consistent data collecting standards followed by all researchers involved on the project
  • Increased efficiency of research, with clearly defined roles for managing and collecting data
  • Adherence to funder requirements
  • Allows for easy sharing and reanalyzing of data by other researchers
  • Proper records management and metadata development allows others to make sense of your data
  • Storing and Preservation will allow you to quickly locate the raw data if an question pops up or something needs to be reanalyzed

Best Practices

Your plan should include answers to:

  • Types of data to be produced 
  • Data collection method
  • Standards on file formats and organization
  • Roles and responsibilities of project members
  • Storage and backup of data
  • Access and privacy requirements
  • Archiving plans for project completion

Data Policies

Library Support

Contact your Liaison Librarian for assistance with the data cycle before starting your research project.

Guide Author: Adrienne Brodie

You will receive help on:

  • Writing a data management or data sharing plan
  • Guidance on data management plan requirements from funders or journals
  • Recommendations on tools and resources for creating data management plans
  • Identifying resources for annotating, storing, and sharing your research data
  • Help with naming conventions and data formatting
  • Recommendations on the proper metadata standard to follow
  • Finding and evaluating a suitable repository for your data
  • Locating data sets to reanalyze for your research

Data Management Nightmare

Useful Resources

Liaison Librarian Contact Information

Adrienne Brodie, MLS
Liaison To ASHS & SOMA
abrodie@atsu.edu
480.219.6192

Hal Bright, MIRLS
Liaison to ASDOH
hbright@atsu.edu
480.219.6036

Susan Swogger, MLIS
Liaison to CGHS, KCOM & MOSDOH
susanswogger@atsu.edu
660.626.2340