Disciplinary data publication guides
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Many academic disciplines have very comprehensive standard for data publication and clear guidance from funding bodies and academic publishers. In other cases, whilst much good-quality general guidance exists, there is a lack of information available to researchers to help them decide which specific data elements should be shared. This is a particular issue for disciplines with very varied data types, such as engineering, and presents an unnecessary barrier to researchers wishing to meet funder expectations on data sharing. This article outlines a project to provide simple, visual, discipline-specific guidance on data publication, undertaken at the University of Bristol at the request of the Faculty of Engineering. Received 21 January 2018 ~ Accepted 20 February 2018 Correspondence should be addressed to Zosia Beckles, Library Services, University of Bristol, Augustine’s Courtyard, Orchard Lane, Bristol, BS1 5DS, United Kingdom. Email: z.beckles@bristol.ac.uk An earlier version of this paper was presented at the 13 International Digital Curation Conference. The International Journal of Digital Curation is an international journal committed to scholarly excellence and dedicated to the advancement of digital curation across a wide range of sectors. The IJDC is published by the University of Edinburgh on behalf of the Digital Curation Centre. ISSN: 1746-8256. URL: http://www.ijdc.net/ Copyright rests with the authors. This work is released under a Creative Commons Attribution Licence, version 4.0. For details please see https://creativecommons.org/licenses/by/4.0/ International Journal of Digital Curation 2018, Vol. 13, Iss. 1, 150–160 150 http://dx.doi.org/10.2218/ijdc.v13i1.603 DOI: 10.2218/ijdc.v13i1.603 doi:10.2218/ijdc.v13i1.603 Beckles at al. | 151
[1] Stephen Gray,et al. Making a statement: Funder-compliant data access statements and support offered at the University of Bristol , 2017 .
[2] Simon Wall,et al. Data Management for Researchers: Organize, Maintain and Share Your Data for Research Success , 2017 .
[3] Christine L. Borgman,et al. Big Data, Little Data, No Data: Scholarship in the Networked World , 2014 .
[4] Jesús Marugán-Lobón,et al. Open data and digital morphology , 2017, Proceedings of the Royal Society B: Biological Sciences.