Raising the Quality and Reproducibility of Data-for-Policy Research I DfP Fireside Chat October'25 скачать в хорошем качестве

Raising the Quality and Reproducibility of Data-for-Policy Research I DfP Fireside Chat October'25

How can we make data-for-policy research more transparent, reliable, and reproducible? This recent Data for Policy Fireside Chat brings together leading experts to discuss practical approaches to strengthening research integrity and reproducibility across data-driven policymaking and academic publishing. In this session, titled “Raising the Quality and Reproducibility of Data-for-Policy Research,” speakers share insights from the Data & Policy journal’s participation in the Tier 2 Project — an international collaboration developing the Editorial Reference Handbook to improve transparency and FAIR (Findable, Accessible, Interoperable, and Reusable) data practices in scholarly publishing. 💬 Speakers Dr Alison Lister, Community and Curation Coordinator, FAIRsharing.org; University of Oxford Jenny Bright, Research Integrity Manager, The Editorial Hub Chair: Andrew Hyde, Editor, Data & Policy, Cambridge University Press 🔍 Discussion Highlights The origins and goals of the Editorial Reference Handbook How reproducibility checklists and FAIR principles support transparent publication workflows Lessons learned from Data & Policy’s pilot implementation Challenges in sharing diverse policy-relevant data (third-party, confidential, or social media data) How reproducibility standards can enhance research credibility and trust Practical steps for editors, authors, and reviewers to improve data availability and openness 📊 Key Takeaways The Data & Policy journal now requires detailed data availability statements for every article. The share of submissions linking to datasets with resolving DOIs increased from 18% to 30% during the pilot. More authors are providing clear justifications for restricted data access, strengthening transparency across publications. Collaborative efforts between journals, publishers, and data curators like FAIRsharing are helping to embed reproducibility at the heart of research publishing. Learn more: https://dataforpolicy.org/fireside-ch... Resources: https://drive.google.com/file/d/1vtF-... --------------------------------------------------------------------------------- 🔔 Subscribe to our channel    / @dataforpolicy   for more expert discussions on AI policy, governance, and technology regulation. Follow Data for Policy here: https://dataforpolicy.org/ Linkedin:   / data-for-policy   https://x.com/dataforpolicy Sign up for Pulse: Data for Policy Monthly Newsletter: https://dataforpolicy.org/subscribe-f... --------------------------------------------------------------------------------- 00:00 - Intro 00:04 - Introduction by Andrew Hyde (Cambridge University Press) 02:23 - Presentation by Dr Allyson Lister (University of Oxford & FAIRsharing) 13:54 - 'Why we entered Data & Policy' by Andrew Hyde 16:52 - 'Findings' by Jenny Bright (Editorial Hub) 20:40 - 'Findings' by Andrew Hyde 29:37 - Feedbacks by Authors 30:15 - Questions to the authors 32:00 - Closing Remarks 32:49 - Session End