Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.
ESSI3.6 | Access, Attribution, Identity and Ethics of Publication of Datasets in the Era of Open Science
Access, Attribution, Identity and Ethics of Publication of Datasets in the Era of Open Science
AGU
Convener: Martina Stockhause | Co-conveners: Lesley Wyborn, Florian Haslinger, Shelley Stall, James Ayliffe
The era of Open Science offers new pathways to scientific discovery, enables greater and cross-disciplinary collaborations and democratises science through making it more accessible to all. Richer metadata and standardised data descriptions make datasets FAIR-er, whilst identifiers, attribution, licensing, versioning control, and provenance recording enables greater traceability of research artefacts for those that create and/or fund them, in addition to being the foundation of reproducible science.
However, challenges are emerging. Funders now ask for more detailed information on uptake of their investments (instrumentation, experiments, projects …) which necessitates some sort of user identification/authentication for data access services. Web technologies make it easier to copy/mirror data to multiple sites, but may not include attribution and thus are not ethical. Research workflows are complex using various resources in multiple processing steps making it cumbersome to gather proper attribution for all used data. Many journals set limits on the number of individual citations in papers making it harder to attribute who actually created individual research artefacts.
This session seeks papers from researchers, data scientists, publishers, curators and any users of data and research results that highlight challenges encountered and solutions developed for ensuring access, attribution, identity and ethics through the whole research life-cycle.