Data Management Plans
Nearly all granting agencies make good practice in research data management a condition of their funding programs. This means that all project proposals should include a data management section, that briefly outlines how research data will be handled during the project. But a data management plan is useful for purposes beyond merely satisfying the requirements of the research funder. It also helps individual researchers, institutes and research groups to manage data effectively as well as to reduce the risk of data loss or other threats that could render the data illegible or unusable (e.g. the obsolescence of software). On this website you find helpful hints and links to the main elements of a Data Management Plan:
Requirements by Research Funders
The SNSF demands that repositories used to publish research data comply with FAIR principles. The data should be made findable, accessible, interoperable and reusable.
The fair acronym stands for the following principles.
Data and metadata should be easy to find for humans and computer systems. Essential machine-readable descriptive metadata allows finding interesting data and services.
The data should be prepared in such a way that exchange, evaluation and (re) combination with other datasets in a (semi) automated way by humans and computer systems is possible.
Data and metadata should be stored long-term so that they are easily accessible to people and machines and can be downloaded or used locally using common communication protocols.
Data and metadata are well enough described that the data can be used for future research purposes and integrated with other compatible data sources. Correct citation should be supported and the conditions under which the data may be used should be unique to both machines and humans.
Costs for granting access to research data (Open Research Data)
The SNSF allow researchers to budget “Costs for granting access to research data (Open Research Data)” up to a maximum of 10’000 CHF. These costs have to be included at the time of proposal submission and are part of the regular budget, i.e. in funding instruments such as Ambizione or Eccellenza with a maximum for the research costs budget, these costs for granting access to research data have to be included in the regular research budget and cannot be added on top. The costs may be claimed for the publication of data that was collected, observed or generated under the specific SNSF grant.
The following costs can be budgeted in this category:
- Costs for data upload into a repository
- Internal or external costs for data preparation, e.g. external costs could be data preparation at the Digital Humanities Lab. Data preparation costs may also include internal personal costs, i.e. personal costs within the own research group. Important is that the exact person months and hourly rate are reported to the SNSF when reporting the costs.
What is not covered:
- Recurring maintenance costs for data storage in a repository. Exceptionally maintenance costs could be accepted if charged as non-recurring costs combined in a package with the upload costs, as some repositories do.
- ETH Bibliothek: Data Management Checklist and DLCM-Template for SNF DMP
- EPFL SNF DMP Template
- Digital Curation Center: Checklist for a Data Management Plan
- Science Europe: Practical Guide to the International Allignment of Research Data Management
- FORS: How to draft a DMP from the perspective of the social sciences, using the SNSF template
- Digital Curation Center: Examples of Data Management Plans in several disciplines, including humanities, UK
- DMP Tool: Public Data Management Plans of several disciplines, USA
- UC San Diego: NSF Sample Data Management Plans, several disciplines, USA
- HU Berlin: Example Data Management Plans for Horizon 2020
- RWTH Aachen: Vorlage für einen Datenmanagementplan, mainly for scientific and technical disciplines
- NEH: Checklist for Data Management Plans in the Humanities, USA
- UC Los Angeles: Data Management in the Humanities, with examples
- Forschungsdatenmanagement Bayern, e-humanities: Text examples for Data Management Plans in the Social Sciences and Humanities (english, german)
- University of York for researches in the psychological sciences: Checklist