Open Science for Arts, Design and Music/Guidelines/Case studies/DMP: Training and awareness in research data management planning
| OS-ADM | Project | Calendar | Training | Guidelines | Case studies | Publishers | DMP | Report | Credits |
- Title: DMP: Training and awareness in research data management planning
- Proposed by: EDHEA, The Valais School of Art
- Disciplinary field: visual art, design
- Communication support : DMP templates, training formats
- Type of content: artwork, performance, photography, sound, illustration, text, video/audio recording
- Timeframe of the project: 2022–ongoing
- Author(s):
- Third-party copyright owners:
- Grantmakers, sponsors or other funding agencies:
DMP: Training and awareness in research data management planning[edit]
Summary of the case study and link[edit]
The case study "DMP: Training and awareness in research data management planning" builds on the ongoing activity of data management plan (DMP) trainings for research staff at EDHEA, organised by the Institute of Visual Arts (Jelena Martinovic) and the library services (Kate Espasandin) in collaboration with data specialists from the HES-SO Valais-Wallis RDSN network (Dr. Jean-Paul Calbimonte and Prof. Alexandre Cotting). A total of 8 training sessions have been scheduled for 2022. Each session is organised around a specific research project (ongoing or in construction) with the aim to complete a DMP which will reflect the evolution and diverse practices of data management in art research projects. At the same time, a series of folders have been created on a password protected HES-SO IT server where data for each project can be stored securely and durably and accessed if needed by third party members. Each training session works with a RSDN developed DMP model (an excel sheet) to answer collectively, step by step, questions related to four crucial aspects: 1) data collection 2) ethics, legal aspects, security 3) data storage 4) data sharing. The training sessions are documented (i.e., minutes, video recordings, notes) with the aim to build an inventory which will reflect arts-specific data management questions and reflect the broader issues at stake with data sharing. The completed DMPs will be made available to all researchers and will be accessible online (via the RSDN network, as well as on an EDHEA webpage).
Problems/questions[edit]
- DMP template: How to develop an art-specific DMP model
- Are DMP models for sound data significantly different to those for visual arts?
- Training: How to establish a sustainable training strategy which includes also peer learning methods
- Data storage: How and where to store training material
Answers/best practices[edit]
Prepare your Data Management Plan (DMP) for Arts, Design and Music
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Data Management Plan (DMP) for Arts, Design and Music[edit]The value of Data Management Planning[edit]Even if the term data does not always resonate well with the communities of cultural practitioners, creative artists and scholars working in the arts domain, keeping a data management plan (DMP) as a living and evolving document throughout the lifetime of a research project is a useful tool. It gives an opportunity to systematically think through, make decisions about and document inputs, throughputs, and outputs of the project and highlight their important provenance details, legal or ethical challenges or sources of uncertainties. It is a roadmap that facilitates a shared understanding within the project (even in case of a solo project, like writing a dissertation) over which resources will be used, curated and produced during the project, how to backup and store them in a secure way, how to select resources for publication, in which forms and formats to publish them, what are the outputs that need long-term preservation and sustaining and how to document them and what are the associated costs and efforts. Data Management Plans as a funding requirement[edit]Increasingly, keeping a DMP alongside research projects is becoming a condition of funding by many research funders, such as SNSF or Horizon Europe. Data Management Plans required by SNSF[edit]Since October 2017, the submission of a data management plan (DMP) has been mandatory in most funding instruments. The SNSF also expects that data produced during the research work will subsequently be publicly accessible in digital databases, provided there are no legal, ethical, copyright or other clauses to the contrary (source). The SNSF DMP is relatively short: its expected length is about 2 pages of text in total, answering 10 questions, plus 2 checkboxes (source). It consists of four sections: (1) data collection and documentation, (2) ethics, legal and security issues, (3) data storage and preservation, and (4) data sharing and reuse. You can find further information, FAQ guidelines and contact to support services under the following links: https://www.snf.ch/en/FAiWVH4WvpKvohw9/topic/research-policies https://www.snf.ch/de/dMILj9t4LNk8NwyR/thema/open-research-data Video support broken down section by section:
Data Management Plans required by Horizon Europe[edit]Open Science for Arts, Design and Music/Guidelines/Horizon Europe/DMP Data Management Plans templates[edit]
Checklist of the most important milestones throughout the research workflow that enable Open Access (and FAIR) sharing of research results and accompanying resources[edit]
Tips[edit]
Data Management Plans tools[edit]You do not have to use specific tools while working on project DMPs apart from an empty document but there are available DMP creator resources that systematically guide you through the process, such as:
General approach[edit]Open by default - open licenses on all content where possible (CC0 for data; CC BY for texts, video, images; CC BY-SA for collaborative projects involving citizens) - OVERVIEW CHART of the CC licenses - which license what is allowed, which research scenario
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