Date and Time
Date(s) - 24/11/2023
09:00 - 12:30
Location
Tielezaal, University Library, Drift 27, Utrecht

Science and scholarship advance “by standing on the shoulders of giants”. We routinely gain insight from previous work – but typically, we rely far more on the published article than we do on the underlying data. A relatively understudied part of Open Science is the re-use of data and software. Advances in science and academia can arise from new and different re-analyses of published data, cross-linking published datasets, or combining published and new data. However, properly re-using FAIR assets (data, software, hardware) is also challenging. Some questions that might arise:

• Do you have access?
• How can you get access?
• Do you trust the assets that you reuse?
• How do you deal with lacking information, variables, and records (metadata)?
• Are the data to reuse unbiased and diverse?
• Is it intellectually rewarding to reuse assets?
• Are you getting recognized for reusing work? How?