Research Data Repository launch 5 June 2019
By Tina Johnson, on 8 May 2019
After 2 years of collaboration with provider Figshare, the Research Data Repository is live! This free, open service will allow all UCL researchers (doctoral and beyond) to publish, preserve and share data underpinning research – or other potentially useful data. Free, open access to data is central to FAIR data principles and enables replicable research – key aspects of Open Science.
On 5 June 2019, UCL researchers, PhD students and staff joined Library Services and Research IT Services teams to celebrate the launch.
5 reasons to use the UCL Research Data Repository
- repository storage complies with research funder requirements to preserve research data for 10 years or more
- publishing data as a research output takes little further effort and makes your research more discoverable and citable
- greater impact and visibility will enhance your academic profile
- published data can be validated and tested by others – a sign of robust methodology
- sharing data is likely to become a key performance indicator as research practices become more open
Additional benefits of sharing your data publicly
- making your data available can lead to new collaborations and partnerships
- allowing data to be reused and avoiding doubling up makes the best use of funding
- published data provides great resources for education and training
The Research Data Management team plans to deliver tailored training on using the UCL Data Repository later this year at different UCL departments.
Join UCL Reproducibility
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Attend a Reproducibilitea talk
Colleagues from all disciplines, sceptics and non-UCL, welcome.
Research Data Management blogs
- Making UCL Research Reproducible
- How long should I keep my data?
- Who owns my data and what happens when I leave the University?
- UCL General Data Protection Regulation
- Personal and sensitive research data and the law (useful 2016 blog post pre-GDPR)
- Where can I find UCL policies regarding research data, information security and data protection?
- Five selfish reasons to work reproducibly (Genome Biology article)
- FAIR data principles
- How do you deal with a problem like reproducibility?
This blog was updated 13 June 2019.