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We consider that such a compa- rative analysis of the requirements pertaining to research data management can help avoiding duplication and assist researchers when drawing up data management plans for their respective funders.

We conclude that, although there are some differences in terminology and specific requirements, both the FWF and Horizon DMPs essentially cover the same ground. This results in a growth potential for the open data market of EUR A more apt metaphor would therefore be to compare data with a form of indispensable renewable energy. Research data are thus increasingly conceptualized as inherently valuable products of scientific research, rather than components of the re- search process that have no value in themselves.

Open Data and FAIR data management in Horizon From to the European Commission ran an initial research data pilot scheme ORD Pilot in some thematic areas of Horizon , with the possibility for grantees to opt-out in case of commercialisation and Intellectual Property Rights IPR , privacy concerns, national security issues or other significant concerns.

As of the work programme this pilot was extended to all thematic areas of Horizon open data as the default , whilst retaining the robust opt-outs described above. These opt-outs can be invoked at any time: during the application stage but also during the implementation phase in the latter case through an amend- ment.

The most important reasons for opt-outs were IPR concerns followed by privacy concerns and projects which do not expect to generate data. Other data can also be provided by the beneficiaries on a voluntary basis. The fact that open- ness of research data is embedded in a wider context is well expressed in the FAIR principles,9 an acronym for making data findable, accessible, in- teroperable and reusable, developed by the Force 11 community of schol- ars, librarians, archivists, publishers and research funders.

While there is certainly an overlap between degrees of openness and FAIR as part of accessibility , these two concepts are not synonymous. When developing a DMP it is important to cross-reference and con- sider the consortium agreement and the relevant Intellectual Property pro- visions.

The Registry of Research Data Repositories re3data 11 is a use- ful starting point for finding an appropriate repository. As a next step, open access to the deposited data should then be pro- vided to enable users to access, mine, exploit, reproduce and dissemi- nate the data free of charge. Data needed to validate the results presented in scientific pub- lications should be made open as soon as possible but not necessarily immediately ; in particular for data not related to publications the legal obligations do in most cases14 not prohibit setting a data embargo pe- riod in the data management plan.

Finally, information should be pro- vided on tools and instruments needed for validating the results. Where possible, the data creators should also provide such tools and instru- ments e. Requirements from national funders: the example of the FWF A mandatory data management plan must be submitted for projects ap- proved by the FWF since 1 January Data characteristics, including information on source code if appli- cable b. Documentation and Metadata c.

Data Availability and Storage d. Legal and ethical aspects It may also be stated that no data will be generated or analysed. Concer- ning the data characteristics, the project staff must answer questions such as: e.

How will the research data be generated and which methods will be used? How will you structure the data and handle versioning? Who is the target audience?

The section Documentation and Metadata contains questions about me- tadata standards, documentation of data and data quality control, inclu- ding which metadata standards are used, whether the data are machine- readable, whether they are compliant to the FAIR Principles and which quality assurance processes will be adopted.

Data Availability and Sto- rage includes questions about the data sharing strategy and the data sto- rage strategy. In this section, details must be given about the repository selected, which persistent identifiers will be assigned, which data should be archived long-term, how long the data will be accessible after the end of the project, what storage costs will be incurred and whether there are technical obstacles to making the data inaccessible.

Who owns the data? What licence for reuse are you planning to attach to the data? Are there any re- strictions on the re-use of the data? Attachment firmwares. Share this page:. Share this page on Presales info. Follow us on Twitter Youtube.

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