Research Data Management throughout the research life cycle (LT) New
As a researcher, you will collect a lot of data throughout your research. Whether that data takes the form of spreadsheets, audio-visual recordings, images, interview transcripts, or something entirely different, it's crucial that you manage it well throughout your project. Funders also require applicants to demonstrate they have a clear idea of how research data is going to be managed throughout a project. This course will introduce both students and researchers to some of the basics of managing research data and equip them with strategies for effective data management throughout the research life cycle. It will complement other CaRM modules you are undertaking such as Research Data Security, Ethical Review for Social Science research, and Qualitative Methods. Data management may seem daunting but once you have a grasp of the concepts introduced in this course, it will allow you to work more efficiently and help you to identify and address any issues before you start a project. This course is designed to provide you with some data management strategies that you can immediately implement into your research process.
- Postgraduate students and staff
- Further details regarding eligibility criteria are available here
Number of sessions: 1
# | Date | Time | Venue | Trainer | |
---|---|---|---|---|---|
1 | Wed 5 Feb 10:00 - 11:30 | 10:00 - 11:30 | Syndics Room 17 Mill Lane | map |
- Storing and backing up data on University systems
- Best strategies for data organisation
- Working with protected data (e.g., personal or sensitive data)
- Data sharing, why it is important and how to share
- Introduction to data management plans (DMPs)
- Sources of research data management support available to you at the University of Cambridge
This module will be held in person and is limited to 20 places.
After this session, participants will:
- Recognise how research data management is relevant to the different modules offered by the SSRMP
- Be able to analyse the options available to choose the best mode of storing and backing up research data in ways that comply with their funder
- Be able to immediately apply strategies of data management that will increase their efficiency as a researcher
- Understand the best strategies for working with sensitive data, such as attaining the appropriate consent and anonymising datasets
- Understand how to prepare datasets for research data sharing to maximise research impact
- Understand what a Data Management Plan (DMP) is and how your research will benefit from one
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For more information please visit our website
This module is run in Michaelmas Term and then repeated in Lent Term. You only need to book on ONE of these iterations, either in Michaelmas OR in Lent.
Booking / availability