Open Science training
Phase 6 - Re-using data
- Getting started with secondary analysis (re-using other people’s data) - by UK Data Service
- Reproducibility: Collaborative working - by UK Data Service
- Being Selfish about Reproducibility - by University of Cambridge, Office for Scholarly Communication
Presentation on qualitative and quantitative secondary analysis of research data.
Participants will learn about the key issues to consider when using secondary data analysis as a method. This introductory workshop will briefly cover the pros and cons of reusing data and the importance of learning about the origins of your data. Quantitative and qualitative secondary analysis will be discussed with examples and issues of context, sampling, plus ethics raised.
The session is more conceptual than many of our other workshops, which are more suited to those who want a more practical introduction to our data. The practical elements of the session will focus on exploring documentation and finding suitable data to support your research.
Language: English
Level: Master’s, PhD, early-stage researcher
Format/length: Video (46:44mins)
Course period: Ongoing
Presentation on, among others, open software, git, GitHub, version control.
Working together on a software or data project is a challenge. You have probably heard of git and GitHub but do you know what they are? Join the UK Data Service for this free webinar on collaborative working, version control, git, GitHub and beyond.
Language: English
Level: Master’s, PhD, early-stage researcher
Format/length: Video (58:49mins)
Course period: Ongoing
Presenter outlines his reasons for taking a ‘selfish’ approach to reproducibility.
Language: English
Level: Master’s, PhD, early-stage researcher
Format/length: Video (38:20mins)
Course period: Ongoing
