This guide was created to direct faculty, researchers, and graduate students to different training resources and tutorials about specific tools that can help manage your research data.
Research data management is a critical part of all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, the publication process, and curation of research data for public access. The Libraries’ Research Data Management Support provides Drexel researchers consultation in data management to help meet funder and publication requirements, and to increase the visibility of Drexel research.
If you're looking for a general introduction on best practices for research data management, check out this Primer from DataONE. If you're ready to go more in-depth, or look at best practices for individual steps of the data lifecycle, the DataONE database is an excellent starting point.
For a comprehensive overview, there are plenty of options out there.
MANTRA: a free online course for those who manage digital data as part of their research project. There are eight online units in this course and one set of offline (downloadable) data handling tutorials that will help you through all aspects of the data lifecycle, such as creating a data management plan, documenting data, understanding the benefits of sharing data.
DataONE: these education modules covers ten different modules, from why data management is important, to more technical aspects like metadata and legal and policy issues.