Research data is any information generated by research that serves to validate original research findings.
Data may be quantitative or qualitative. It may be raw, cleaned or processed, and may be held in any format or media.
Research Data Management refers to the organization, preservation, and storage of data collected during the research process. The goal is ensuring documentation and transparency of research results, and making data available for possible re-use by other scholars.
Increasingly, major funding agencies like the NSF and the NIH require that all research data from original research be made publicly available upon publication of research articles. This ensures openness of research. Data should meet the principles of findability, accessibility, interoperability, and reusability (FAIR).
A data management is your blueprint, laid out before research begins, of how your data will organized, stored, and preserved, both during and after the research project.
Why have a Data Management Plan?
Typical parts of a data management plan for granting agencies: