There are now numerous policies and guidelines on the handling of research data from the various research funding organisations and other organisations and initiatives. Funding organisations increasingly expect these guidelines to be adhered to and implemented when carrying out research projects. We therefore recommend that all applicants familiarise themselves with the relevant guidelines and formulate concrete statements on their implementation in their (full) proposal.
Friedrich Schiller University Jena
A guideline on the handling of research data and a recommendation for action on research data management were adopted by the university's senate in 2016. The policy on the handling of research datapdf, 170 kb · de provides an initial introduction to the topic of research data management, while the Guidelines and recommendation for action on research data managementpdf, 316 kb · de supplements and concretises the principles introduced in the policy.
Since July 2023, the university's statutes on safeguarding good research practice have also included statements on research data and software that correspond to the DFG Code mentioned below.
German Research Foundation (DFG)
In July 2019, the DFG published the "Guidelines for Safeguarding Good Research Practice"External link code. It is a fundamental revision and replaces the memorandum "Safeguarding good research practice" from 1998. The code consists of 19 guidelines, many of which are relevant to the handling of research data and software. The guidelines on handling research dataExternal link, which were adopted by the Senate of the DFG in September 2015, serve as a supplement. The DFG's "Handling Research Data"External link website offers a comprehensive compilation of principles, support services and funding opportunities. A checklist for handling research dataExternal link (as of December 2021) and subject-specific recommendations for some disciplines can also be found there. Information on the handling of research data is mandatory in DFG funding proposals.
European Commission - Horizon Europe
The Horizon Europe framework programme is the European Commission's funding programme for research and innovation in the European Union (EU) until 2027. It follows the EU framework programme Horizon 2020. Horizon Europe requires immediate free access to publications that have undergone a peer-review process. Embargo periods are no longer envisaged.
Free access to research data is also to be guaranteed in Horizon Europe, in line with the principle of "as open as possible - as restricted as necessary". Researchers should be guided by the FAIR principles when handling research data. This includes the mandatory creation of a data management plan in each project as well as the storage and provision of data in a relevant repository. All other guidelines can be found in the Horizon Europe Programme GuidelinesExternal link. Details on publication, licences and metadata are defined in the Grant Agreement.
Under the umbrella of Horizon EuropeExternal link, the creation of a Data Management Plan (DMP) has been mandatory for ERC projectsExternal link since 2021. This must be submitted no later than 6 months after the start of the project.
FAIR Data Principles
The "FAIR Data Principles"External link published in 2016 have also gained general recognition and widespread use. In addition to this version, there is also the article "The FAIR Guiding Principles for scientific data management and stewardship" published by Wilkinson, M.D. et al. (2016)External link.
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Findable
F1. (meta)data are assigned a globally unique and eternally persistent identifier.
F2. data are described with rich metadata.
F3. metadata clearly and explicitly include the identifier of the data it describes.
F4. (meta)data are registered or indexed in a searchable resource. -
Accessible
A1 (meta)data are retrievable by their identifier using a standardised communications protocol.
A1.1 the protocol is open, free, and universally implementable.
A1.2 the protocol allows for an authentication and authorisation procedure, where necessary.
A2 metadata are accessible, even when the data are no longer available. -
Interoperable
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles.
I3. (meta)data include qualified references to other (meta)data. -
Re-usable
R1. (meta)data are richly described with a plurality of accurate and relevant attributes.
R1.1. (meta)data are released with a clear and accessible data usage licence.
R1.2. (meta)data are associated with detailed provenance.
R1.3. (meta)data meet domain-relevant community standards.
Nagoya Protocol
The Nagoya ProtocolExternal link is a legally binding international agreement on Access and Benefit Sharing (ABS), which aims to achieve a fair and equitable sharing of the benefits arising from the utilisation of genetic resources or traditional knowledge associated with them. A "genetic resource" is any material of plant, animal, microbial or other non-human origin that contains functional units of heredity or is a derivative thereof. Researchers who use the described genetic resources in their research projects are obliged to comply with the Nagoya Protocol.
The implementation of the Nagoya Protocol is regulated in EU Ordinance No. 511/2014External link. In Germany, the Federal Agency for Nature Conservation (BfN)External link is the competent national authority for the implementation of the Nagoya Protocol. The DFG has published guidelines on ABSExternal link, explanations on how to deal with the legal requirements of the Nagoya Protocol and Ordinance (EU) No. 511/2014External link for the implementation of the Nagoya Protocol.
Answers to frequently asked questions as well as internal counselling services of the Friedrich Schiller University Jena on the Nagoya Protocol can be found here. de
IPBES
The World Biodiversity Council IPBES published a Data Management PolicyExternal link in January 2020 (English). It provides a framework for all IPBES units, technical experts and technical support organisations. This includes guidance for the development of data management plans, recommendations for data archiving procedures and motivation to use open source software.
Tips for creating your own research data policy
It also makes sense for research projects - especially collaborative ones - to draw up a research data policy in order to establish a common standard for how the generated research data should be handled. Such a policy becomes all the more important when different types of research data are generated and there are different specific requirements for handling research data. The project Research Data Policies for Research Projects at TU Berlin (sub-project of the three-year DFG joint project FDNext) has compiled a guidelineExternal link for this purpose, which is intended to provide certainty and orientation. It comprises three parts:
- Preliminary considerations and reasons for a research data policy, stakeholders, project-related framework conditions, the process of drafting from draft to adoption to publication and implementation
- Content and structure of a research data policy, conceptual considerations for the structure, catalogue of topics and key questions
- Checklist for a systematic approach