Thorsten Trippel
Seminar für Sprachwissenschaft, Universität Tübingen, Germany
Claus Zinn
Seminar für Sprachwissenschaft, Universität Tübingen, Germany
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Published in: Selected Papers from the CLARIN Annual Conference 2015, October 14–16, 2015, Wroclaw, Poland
Linköping Electronic Conference Proceedings 123:6, p. 71-78
NEALT Proceedings Series 28:6, p. 71-78
Published: 2016-04-11
ISBN: 978-91-7685-765-6
ISSN: 1650-3686 (print), 1650-3740 (online)
To optimize the sharing and reuse of existing data, many funding organizations now require researchers to specify a management plan for research data. In such a plan, researchers are supposed to describe the entire life cycle of the research data they are going to produce, from data creation to formatting, interpretation, documentation, short-term storage, long-term archiving and data re-use. To support researchers with this task, we built DMPTY, a wizard that guides researchers through the essential aspects of managing data, elicits information from them, and finally, gener- ates a document that can be further edited and linked to the original research proposal.
[1] Digital Curation Centre (DCC). Funders’ data plan requirements. See http://www.dcc.ac.uk/resources/data-management-plans/funders-requirements.
[2] Guidelines at the Swiss National Science Foundation. See http://www.snf.ch/sitecollectiondocuments/allg_reglement_e.pdf, Article 44(b).
[3] Guidelines for Research Integrity at the ETH Zurich. See https://www.ethz.ch/content/dam/ethz/main/research/pdf/forschungsethik/Broschure.pdf.
[4] Research Data Management Policy at the University of Edinburgh. See http://www.ed.ac.uk/schools-departments/information-services/research-support/data-management/data-management-planning.
[5] Funder Requirements at the Digital Curation Centre (DCC). See http://www.dcc.ac.uk/resources/data-management-plans/funders-requirements.
[6] Checklist for a Data Management Plan. v.4.0, Edinburgh: Digital Curation Centre, 2013. Available online: http://www.dcc.ac.uk/resources/data-management-plans.
[7] Guidelines on Data Management in Horizon 2020 (Version 2.1). European Commission, Directorate-General for Research& Innovation. See http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf, February 2016.
[8] CLARIN-D User Guide, v.1.01. See http://www.clarin-d.net/de/sprachressourcen-und-dienste/benutzerhandbuch
[9] Digital Curation Centre. DMPOnline, a tool to devise data management plans. See https://dmponline.dcc.ac.uk.
[10] DMPonline v4. Software maintained at https://github.com/DigitalCurationCentre/DMPonline_v4.
[11] Second DINI/nestor Workshop, Berlin, 2015. See http://www.forschungsdaten.org/index.php/DINI-nestor-WS2.
[12] J. Ludwig and H. Enke (Eds.) Leitfaden zum Forschungsdaten-Management. Verlag Werner H¨ulsbusch, Gl¨uckstadt, 2013. See http://www.wissgrid.de/publikationen/Leitfaden_Data-Management-WissGrid.pdf.
[13] The DMP Webtool, University of Bielefeld, see https://data.uni-bielefeld.de/de/data-management-plan.
[14] The TUB-DMP Tool, Technical University of Berlin, see https://www.szf.tu-berlin.de/menue/dienste_tools/datenmanagementplan_tub_dmp
[15] B. Almas et al., Data Management Trends, Principles and Components - What Needs to be Done Next? V6.1. EUDAT, 2015. See http://hdl.handle.net/11304/f638f422-f619-11e4-ac7e-860aa0063d1f.
