Conference article

DMPTY – A Wizard For Generating Data Management Plans

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

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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.


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[2] Guidelines at the Swiss National Science Foundation. See, Article 44(b).

[3] Guidelines for Research Integrity at the ETH Zurich. See

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[5] Funder Requirements at the Digital Curation Centre (DCC). See

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[7] Guidelines on Data Management in Horizon 2020 (Version 2.1). European Commission, Directorate-General for Research& Innovation. See, February 2016.

[8] CLARIN-D User Guide, v.1.01. See

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[10] DMPonline v4. Software maintained at

[11] Second DINI/nestor Workshop, Berlin, 2015. See

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[15] B. Almas et al., Data Management Trends, Principles and Components - What Needs to be Done Next? V6.1. EUDAT, 2015. See

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