This requirement, called the Open Research Data Pilot, applies to:
It depends when your project started. As of 2017 participating in the Pilot is the default option for all Horizon 2020 projects, though opting out is accepted. If your project started before that date, check whether you have Article 29.3 in your grant agreement.
|Projects started in 2014-2016: Limited Pilot||From 2017: Extended Pilot|
|Limited pilot: some areas participate: Check Article 29.3||Participating is the default option for all projects|
|Possibility to opt-out but also to opt-in on voluntary basis for other areas||Possibility to opt-out|
There are three steps to comply with the Open Research Data Pilot:
The first version of your DMP has to be submitted within six months. You should update your DMP whenever significant changes occur, but at a minimum for periodic evaluation and the final review. See below for more information.
Find a data repository that matches your data needs and discipline. An overview of repositories can be found at Re3data.
See a demonstration of searching for research data repositories using the Re3data directory
There are discipline-specific data deposit recommendation services, for example the Data Deposit Recommendation Service for humanities researchers where you could find a suitable digital repository to deposit your research data or to include in your data management plan by answering a set of questions.
If there is no subject-specific data repository available, catch-all repositories such as Zenodo, provide a good alternative.
Deposit the data and the information necessary to access and use it, i.e. metadata and tools/instruments, in the data repository. Data repositories allow you to provide persistent identifiers to your datasets, so that they can be cited, linked and tracked. Attach an open licence, such as a Creative Commons license, to the datasets that can be made openly available.
A Data Management Plan (DMP) is a formal document that specifies how research data will be handled both during and after a research project. It identifies key actions to ensure that research data are safe, sustainable and – where possible – accessible and reusable. A DMP should be considered a ‘living’ document - it is ideally created before or at the start of a research project, but updated when necessary as the project progresses. Planning for data management is therefore not a one-off event, but a process. To help you, there are DMP templates made available. The DMP template for H2020 projects provided by the EC includes:
DMPonline is an online tool that provides a number of templates representing the requirements of different funders and institutions, such as Horizon 2020. It also provides further guidance to understand and answer template-specific questions. Plans created with DMPonline can be easily shared with collaborators and exported in various formats.
If you are based in Australia, Belgium, Canada, Denmark, Finland, France, Germany, South Africa or Spain, check out other DMPonline installations here.
The first version of the DMP is expected to be delivered within the first 6 months of the project.
It should be updated in line with project reviews or in time for the final review at the latest. The project consortium can define a timetable for review in the DMP itself.
Under Horizon 2020, costs for data management are eligible for reimbursement for the duration of the grant agreement. To make an estimate of the cost associated with data management, the University of Utrecht (The Netherlands) compiled a Data Management Cost Guide.
You can find more detailed information in the EC's Guidelines on FAIR Data Management in Horizon 2020.
Not sure you can open your data? Check our Fact sheet on personal data.
Opting-out: It is possible to opt-out (not share your data) at any stage: during the application phase or the grant agreement preparation phase or after signing the grant agreement. However, projects that opt out are still encouraged to submit a DMP on a voluntary basis.
The European Commission recognises that there are good reasons to keep some or even all research data generated in a project closed and therefore provides robust opt-out possibilities at any stage, that is during the application phase during the grant agreement preparation (GAP) phase and after the signature of the grant agreement. Reasons for opting-out have to be given e.g. for intellectual property rights (IPR) concerns, privacy/data protection concerns, national security concern, if it would run against the main objective of the project or for other legitimate reasons (see General Annex L of the 2017 Work Programme adopted at 25 July 2016).
The key principle to bear in mind is to be "as open as possible, as closed as necessary". If you plan to keep some datasets closed, you need to justify these decisions in your Data Management Plan.
For more information also check the EC's Guidelines on FAIR Data Management in Horizon 2020.
We are here to help and inform you. We make sure your datasets are picked up by our infrastructure and link them to your project and publications. We also have lots of supporting material that can help you comply with the Open Research Data Pilot. You can find it in the OpenAIRE support page.
If you have any questions on how we may furhter help you, please do not hesitate to contact us.
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