Data Management Plans + Introduction to DMP Assistant Online
Planning ahead for research helps you prepare for data questions and problems before they happen. Submitting a Data Management Plan (DMP) is increasingly a requirement for funding applications with Tri-Agencies and the NIH. But DMPs can also be very helpful "living documents": research tools that identify strengths and gaps which are updated through your research process. In this session, we'll start with best practices of data management planning and go through a demo of DMP Assistant, a web-based tool for developing and collaborating on Data Management Plans in the Canadian research context. We'll end with a sandbox session
Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre's Online Learning Catalogue.
Facilitator Bio: Danica Evering (they/them) is McMaster's Research Data Management Specialist. They hold 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. Email Danica at everingd@mcmaster.ca.
- Date:
- Wednesday, October 25, 2023
- Time:
- 10:30am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- Research Data Management SCDS Sponsored Events Workshops
More information on Sherman Centre Events can be found on the SCDS Events page.
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.
Research Data Management Specialist
