The deadline for abstract submissions to the Göttingen-CODATA Symposium 2018 has been extended to 15 January 2018.
Abstract submissions should be made here. Proposals should be submitted against one of the following themes:
- Solutions (long papers)
- Strategy (long papers)
- Structure, organisational (long papers)
- Success (short papers)
- Skills and Support (short papers)
- Stitch ’n’ Bitch / Steam, letting off… / Sticking Points / Success and its Shadow (short papers)
- Sustainability (short papers)
- Shared and Outsourced Services (short papers)
- Service Points (short papers)
- Service Level, Trust and FAIR (short papers)
- Champions and Engagement (short papers)
Important points to note about abstract submissions:
- Proposals for long papers should be 1200-2000 words.
- Proposals for short papers should be 300-600 words.
- When submitting a proposal the author should choose the session corresponding to the theme for which the abstract is intended.
- Announcement of accepted abstracts and outline programme: late January 2018
Authors of accepted papers will be invited to submit them to a special collection of the Data Science Journal.
The Göttingen-CODATA Symposium will take place in Göttingen from 18-20 March 2018: it is a collaboration between the University of Göttingen and CODATA.
Structure of the Symposium
The Symposium is intended as a precursor event to the RDA plenary meeting in Berlin on 21-23 March 2018.
- Invitation to the INTEREST GROUP in AGRICULTURAL DATA (IGAD) Pre-Meeting P11 : submit a Short abstract by the 15th of January 2018
- Call for Papers extended (15 January 2018) : Open Repositories 2018 : Sustaining Open
- Session proposals for SciDataCon has been extended to 2 February 2018
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- Big Metadata : prioritizing next steps to advance Metadata Research in Data Science
- Data Management & Permanent Access to Digital Research Resources : learning from DANS Institute
- Articulating the value of DATA with the Australian National Data Service (ANDS)
- Recorded (ANDS) - FAIR (Findable, Interoperable, Accessible, Reusable) Webinar series
- CESSDA Research Data Management for Open Data doctoral training series: RESEARCH DATA MANAGEMENT AND OPEN DATA