Young Academy Leiden - Summer of Data Diversity podcast
<p>What kinds of data do academics use? And what does the diversity of these forms of qualitative and quantitative data mean for discussions on Open Science and FAIR data? In the two episodes of the <a href="https://www.universiteitleiden.nl/en/yal/projects/seasons-of-interdisciplinarity#podcast-series">Summer of Data Diversity Podcast</a>, Young Academy Leiden (YAL) member <a href="https://www.universiteitleiden.nl/en/staffmembers/zsuzsa-bakk#tab-1">Zsuzsa Bakk</a> hosts a conversation on these questions with three specialists at Leiden University: <a href="https://www.universiteitleiden.nl/en/staffmembers/anna-van-t-veer#tab-1">Anna van ‘t Veer</a>, <a href="https://www.universiteitleiden.nl/en/staffmembers/john-boy#tab-1">John Boy</a>, and <a href="https://www.universiteitleiden.nl/en/staffmembers/barend-mons#tab-1">Barend Mons</a>. Produced by <a href="https://www.nap1.nl/">Nap1</a> Podcasts. </p> <p> </p> <p>The podcast consists of two episodes.</p> <p><a href="https://www.buzzsprout.com/2090828">Episode 1</a> Topics:</p> <ol> <li> <p>What is (meta) data in different fields? And how metadata of one discipline can be seen as data for another </p> </li> <li> <p>What is FAIR/OPEN data</p> </li> <li> <p>Planning for good data management (and moving to a planning mindset in general, e.g., with preregistration)</p> </li> <li> <p>Can all data be made open? Should there be levels of openness? What are the inherent risks in making all data open? </p> </li> </ol> <p><a href="https://www.buzzsprout.com/2090828">Episode 2 </a>Topics: </p> <ol> <li> <p>The importance of data stewardship and the role recognition of data stewards </p> </li> <li> <p>What is required for new data policies to reach the research community?</p> </li> <li> <p>How can we make sure data diversity is taken into account in policies aiming for verifiability and reproducibility?</p> </li> <li> <p>Unintended consequences of policies, and building on motivations for using openness principles to do research that benefits society</p> </li> <li> <p>What will be data in the future?</p> </li> </ol> <p>Podcast links:</p> <p><a href="https://www.go-fair.org/fair-principles/">FAIR</a></p> <p><a href="https://www.universiteitleiden.nl/open-science-community-leiden">Open Science Community Leiden</a> </p> <p><a href="https://www.osc-nl.com/">Open Science Communities Netherlands</a></p> <p><a href="https://zenodo.org/record/3928529#.Y4XvnezMJqs">Data Management Plan template Leiden</a></p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0