Managing Your Data
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Grants, funding opportunities, and more.
Plan and prepare for research data.
Copyright, open access, OERs, writing, and more.
Preprints, repositories, conference presentations, and more.
Resources to help you with the research process.
Journal metrics, author metrics, altmetrics, and researcher profiles.
Data is usually considered part of the output of a research project. Having a research data management plan requires preparation and knowledge for the whole research team.
- Data Literacy
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Data literacy is the ability to read, understand, create, and communicate data as information. It includes developing competency and skill in working with data. According to the Harvard Business Review, these data skills are important
- Ask the right questions
- Understand which data is relevant and how to test the validity of the data they have
- Interpret the data well, so the results are useful and meaningful
- Test hypotheses using A/B tests to see what results pan out
- Create easy-to-understand visualizations so leaders understand the results
- Tell a story to help decision-makers see the big picture and act on the results of analysis
- Data Literacy Tutorial
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This Data Literacy Project tutorial, Understanding Data (30 minutes) helps develop an understanding of data and helps learn about different types and attributes of data.
- Guidance on Data Management Plans
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Some granting agencies require a data management plan (DMP) to be submitted with the grant application.
- National Science Foundation (NSF) Data Management Plan requirements
- U.S. Department of Health and Human Services (HHS), Implications of the NIH Draft Policy for Data Management and Sharing on Data Derived from Human Participants
- Browse data sharing requirements from other Federal agencies
- Data Management for OU Researchers
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The OU Libraries Guide on Data Management has links to tools and information on data management planning.