The panel for this session consists of:
- Catriona MacCallum, Hindawi
- Daniella Lowenberg, California Digital Library
- Helena Cousijn, DataCite
- John Chodacki, California Digital Library (moderator)
- Martin Fenner, DataCite
- Rachael Lammey, Crossref
The underlying data created (and/or reused and remixed) for research is becoming as crucial as the resulting text-based output - that’s not up for debate. However, what merits discussion is how our various communities can continue to work together to support the sharing, linking and citation of data. Despite all previous efforts and panel discussions, we’re still not there yet.
There are a number of key parts to this, and collaboration is key to making these parts work together so that the research community can realise the benefits that accurate, acknowledged article/data linking:
- education for researchers on data publishing
- encouragement and support for researchers who want to publish data
- changes in policies and workflows for publishers and repositories
- provision of infrastructure to collect and disseminate this information
- development of initiatives and tools to measure data usage and data citations
In that vein, this panel session will dig into the what, the why, and the how of data sharing and data citation. The panel will include representatives from the perspectives of publishers, repositories, infrastructure developers and industry, who will provide an update on how things have developed since the FORCE11 Data Citation Principles first came out, and who will discuss the lessons learned from collaborations within the Data Citation Implementation pilot. We’ll discuss where things stand with data sharing and data citation today, what the issues are, whether we are ready to start taking steps towards data metrics and what we need to do to finally start supporting data with the same rigour as we support other scholarly outputs.
