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For funders

Why does OpenAIRE want national funding information?

OpenAIRE supports the open access policy of the EC. This means that it gathers together the open access publications of the FP7 funding stream and moving on to Horizon 2020. For the first time, the EC can now view figures and detailed statistics on the research output associated with the funding that it provides. In turn this gives a figure for 'impact of funding', which can be viewed on the level of funding programme/stream/project. The services are currently being extended to include research data.

As well as the EC and ERC, OpenAIRE has run a pilot with Wellcome Trust project info, and is now ready to apply this model and its services to include additional funders at the national, or private/thematic level. This will enable the information to cover all the European Research Area allowing for scientific output cross-linked with different funders to produce advanced statistics, e.g., co-funded research results, research trends, etc. (Preview this at: http://beta.openaire.eu/statistics/statistics)

What do we need?

OpenAIRE would like to use a 'very limited' set of metadata fields from funders, no personal or private details are needed, e.g. no people's names, budget details:

PROJECT IDENTIFIER (MANDATORY)
PROJECT TITLE or ACRONYM (MANDATORY)
FUNDER NAME (MANDATORY), e.g. Wellcome Trust, EC
START DATE (MANDATORY),
END DATE (MANDATORY)
FUNDING STREAM(S) (OPTIONAL) – funding categories for more detailed statistics
ORGANIZATION(S) INVOLVED (OPTIONAL)

This data can often be provided by a funder in a database format or spreadsheet.

How is the outcome presented?

In the new OpenAIRE portal, users will be able to

  • filter publications/data by funder and browse by specific funding streams
  • search via project title, acronym or grant agreement and view specific statistics of the project: publications/data over time, OA status, where they were published/deposited, etc.
  • view overall funder/funding stream statistics (facets over time, data source, institution, etc.)
  • correlate author/institution output with funding information
  • visualize clusters of publications/data or funding based on their interlinking (national or ERA-wide level)