Drop-in session on data collection, storage, privacy and security for researchers
Navigating the complex landscape of research data standards and data repositories can be challenging, particularly when taking into account privacy and cybersecurity concerns when using cloud solutions. As a support to 捆绑SM社区 researchers across all disciplines, IT Services, Research Ethics, Libraries, and VPRI will hold drop-in hours where researchers will be able to discuss any questions related to their research data and research software.
Some topics may include:听data sharing; (meta)data standards; cybersecurity; data privacy; data ownership; data curation; software vetting; data management; cloud directive.
When: January 30th, 2024 from 2pm to 3pm
Where: MS Teams
Click here to register:听
Contact: drs [at] mcgill.ca
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What kind of questions can I ask?
I collaborate with researchers across different universities. Is it secure to use X solution to share data?
I work with big data and heavily rely on high performance computers. What is the best repository for my data?
I work with human participants and I need to record my interviews. Can I use software X to record them, and software Y to upload them to an IT approved cloud solution?
I would like to use a software that is not yet approved by IT Services. Do I need to go through a vetting process?
I need to transcribe interviews using X software. Can I use that software to perform transcriptions of the recordings and/or content analysis?
I am planning my project鈥檚 data management. What are data models and standards most commonly used in my field? Where can I find this information?
I want to conduct anonymous surveys using X solution. Will this be a secure option?
I have a project with an industry partner that would like to use X software to manage the project鈥檚 sensitive data. What are the IP and privacy implications?
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For questions related to the Drop-in Sessions, please contact the drs [at] mcgill.ca (subject: Drop-in%20sessions) (Digital Research Services team)