Connecting open data to open access publishing

Open data is becoming more and a recognised research output in the life cycle. Research validation replication depend on open which enriches output. goes beyond traditional article book publishing format. As such reinforces Access (OA) publishing, OA data. stimulate collaboration increase both impact of findings visibility researchers groups. In past years, funders institutions developed independently policies that support publishing. Researchers are increasingly required to publish make their open. The question how we can evaluate Subsequently, what extent does influence data? At TU Delft, 82% peer-reviewed articles 71% conference papers published 2021, but many those publications refer We have no records traceability processes place answer this question. consequence, few datastewards took themselves count manually number include It nevertheless clear some changes need occur help joining forces. current challenges barriers faced could be reduced with an outputs (OA books or educational resources), change culture reviewers’ practices. Recognising rewarding publishing; credit review activities; developing different workflow process if including requiring expertise from reviewers (data management insights) realistic options. parallel, new features innovation for platform (open workflow, link datasets download) repositories (quality badge reviewed datasets, flexibility incorporating changes) worth exploring. There possible solutions workaround available all. it easy by connecting blocks science optimising benefits Data Statement (DAS) as standard section template publishers providing DAS basic requirements. For institutions, having dashboard all DOIs together will very beneficial. Another option giving authors control community-driven journal. Our framework includes platform, publication repositories, funding policy Science lifecycle; collaboration.