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For Research Managers

Research-Administrators-Icon orangeFind out how to use OpenAIRE to your advantage.

1 - How can OpenAIRE help with progress or final reporting?

OpenAIRE provides you with a publications reporting tool available in the project landing page of the portal. For each project OpenAIRE suggests a list of scientific outputs (publications and data) that you can view and export in a csv or html form.

Using this aggregated project output – identifying title, author, year, access mode and permanent link – you can easily fill the corresponding information in the progress or final report of your project.

Additionally, and if you didn’t find all the publications in the list, you can easily claim them linking publications to your projects.

2 - What is the Data Management Plan (DMP) required in H2020?

A DMP is a “living” document outlining how the research data collected or generated will be handled during and after a research project. It is a brief plan to define: how the data will be created; how it will be documented; who can access it; where it will be stored; whether it will be shared and where it will be preserved.

It should describe:
  • The dataset: what kind of data will the project collect or generate, and to whom might they be useful later on?
  • Standards and metadata: What is the data about? Who created it and why? In what forms it is available? Can your data be combined with other data sources (interoperability)? Metadata answers such questions to enable data to be found and understood, ideally according to the particular standards of your scientific discipline. Use your disciplinary standards to enable interoperability, or if there are no standards in your discipline just describe what type of metadata will be created and how (see https://www.rd-alliance.org/groups/metadata-standards-directory-working-group.html as a reference). Also, document your definitions, variables, machine configurations et cetera in a way that is common in your field.
  • Data sharing: Sharing data outside the project team is the default, so legitimate reasons for not sharing resulting data should be explained in the DMP.
  • Archiving and preservation: The usability of data depends not only on storage and backup but perhaps also on well-preserved software and on conversion to new file formats. Where will the data, metadata, documentation and software be preserved for the long-term?

Please note that the DMP is not a fixed document; it evolves and gains more precision and substance during the lifespan of the project, and this is the reason why you should keep it updated!

You may also want to take a look at our webinars

3 - When do I need to submit the Data Management Plan for my H2020 project?

The first version of the DMP is expected to be delivered within the first 6 months of the project.

It should be updated as a minimum in time with the periodic evaluation/assessment of the project. If there are no other periodic reviews foreseen within the grant agreement, then such an update needs to be made in time for the final review at the latest.

Furthermore, the project consortium can define a timetable for review in the DMP itself (http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf).

4 - How do I create a Data Management Plan for an H2020 project?

  • Think about your Data Management Plan (DMP) from the re-use perspective: what is needed in order to find, evaluate, understand, and reuse your data – and to give you credit?
  • Plan for the desired end result: open and reusable data.
  • Be specific and justify your decisions in the DMP.
  • Involve all work packages and partners to get a coherent plan.
  • Also, consult your Research Support staff and the repository where you will deposit the data: often they can advise you on data citation, sustainable file formats, metadata and data usage licences.
  • Approach the DMP in whatever way best fits your project: the Horizon 2020 template is intended as a service, not an obligation. Read the background information and the guidance, and use it as a checklist.
  • Will you generate more than one dataset? Describe generically what is possible and dataset-specific what is necessary. Focus your effort on datasets you’ll create rather than reuse.
DMP reviewers and project officers expect that you are as specific as you can, so don’t write “we’ll use a suitable file format”, but for instance “we’ll use .csv files because.csv is an open format”. Don’t write “a persistent identifier will be assigned”, but for instance “we’ll archive the data in certified repository XYZ and this repository will assign a URN persistent identifier to the dataset”.

It isn’t a problem when in month 5 or 6 the project has not yet selected the repository where it will archive the data (or e.g. the metadata schema, etc.), but at least write in the first version of the DMP how or where the project team will look for a repository (resp. the metadata schema, etc.), and make sure to add that information in the next version of the DMP. It is a living document and you are supposed to flesh it out over time.

Please take a look at the following resources that will help you in understanding all the steps you need to undertake in order to create your project’s Data Management Plan The following projects publicly share their DMP, which is based on the current H2020 template (without OpenAIRE endorsement of the DMPs, but we are pleased about this openness):