Data Management Plans (DMPs) are both incredibly helpful research tools and increasingly required for grants but it can hard to know how to complete a Data Management Plan if it’s your first time. If you're in the process of creating a DMP, either for a grant application or for your own research, join RDM Services for this afternoon session. By the end of the session, you’ll understand what the major components of a DMP are and walk away with a potentially completed plan for your own research!

This session is especially relevant if you’re in the beginning stages of a research project or streamlining best practices for your research team. Come on your own, send your research staff, or bring your whole research group. This 3-hour session will briefly introduce the different sections of a DMP and all the important things to consider as you build it. The RDM services team will provide tailored guidance as you write your plan on site, and we'll have some light snacks and refreshments to keep you going. Come away with a clear path forward or even a finished DMP!

Let us know if you're solo or joining as a research team - we'll make sure you space to work together.

Learning Outcomes: Identify a strong data management plan compared to a weak response, section by section. Produce a solid outline of their own DMP.

Preliminary Work: Consult with PIs, supervisors, or anyone else to ensure you have access to any data-related information (including ethics requirements) you need to actively work on a DMP.

Details: This workshop will not be recorded.

Facilitator Bio: 

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Danica Evering holds expansive experience with research support, education, project management, advocacy, and knowledge translation; with fluency in social practice art, healthcare, community research, data, and systems development. Danica supports students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. With an MA in Media Studies from Concordia, they are interested in fostering RDM within curious scholars and disciplines.