Data management includes all aspects of collecting, handling, organizing, documenting, enhancing, and sharing research data. Planning for effective data management begins when research is being designed. Effective data management is a prerequisite for research transparency and data sharing.
Correspondingly, funders and publishers are increasingly mandating that grantees develop and provide explicit data management plans.
In the coming months, QDR will develop a series of web pages (all of which will be downloadable as PDFs) outlining key considerations for managing research data:
- Data Management Planning (including costing data management, a checklist for data management, and standard language for depositors to include in funding applications to request resources for data management and organization)
- Sample Data Management Plan
- Template Data Management Plan
- Documenting data
- Formatting data
- Human subjects (including working with Institutional Review Boards [IRBs], consent for data sharing, confidentiality, and anonymization)
- Copyright and fair use
- Setting access controls
Some additional resources for data management can be found here: