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Four billion software files are open to all: the Software Heritage archive is finally online!

On the Software Heritage archive portal, more than 4 billion files from more than 80 million origins are available since June 7, 2018, date of the official opening ceremony held at the UNESCO, in the presence of sponsors and partners of Software Heritage. 

The Software Heritage archive plays an important role in Open Science: it preserves software source code, ensuring it will be accessible in the long term, and provides intrinsic persistent identifiers for software artefacts that enable not only access, but also verifiable integrity, contributing to making reproducibility and assessment of science more resilient.

Read more



Why Open Access. How to comply. What services to use.
Data Providers

Data Providers

How to make your content more visible. What to do to increase quality. How to join.
Research Admins

Research Admins

How to monitor research results. What services to use for your needs.


Why align policies and practices. How to monitor and analyze results.


RT @jonatortue: Luxembourg Open Science Forum #LuxOSF - It's your event! Let us know what you really want to learn and debate about !! http…

Monitor OA policies. Analyse research.

One of our major services for Open Science is to aggregate content from many different sources from Europe and beyond. But we don't stop there! We apply cleaning, transformation, disambiguation processes, and identify relationships among all research entities: publications, data, funding, researchers, organisations and data sources.

Aggregate statistics

Based on this linked information we are able to produce aggregated statistics tailored to the needs of funders or ministries. Take a look at the examples for FP7 or FCT (Fundação para a Ciência e a Tecnologia). More complex reports (e.g., co-funding, correlations) are available on demand.

Our tech team has tools in the development pipeline that will allow YOU to build your customised views and statistics based on the OpenAIRE database on-demand. So stay tuned!

Text and data mining

Based on open protocols and agreements with repositories, we retrieve repository content (text in pdf or xml) and apply text mining algorithms to perform advanced research analytics. Using topic modeling mechanisms we discover hidden thematic structure in the OA scientific literature. We then extend this analysis to identify useful patterns, similarities, correlations trends and communities in order to get insight on national or funder specific programmes and schemes.

Our services have already been successfully applied for a partial evaluation of FP7. We would be happy to work with new use cases as we see a real value in sharing innovative services that greatly help towards a transparent decision policy making.

Check out our Horizon 2020 Research Administrators Guide
For more information please contact us at This email address is being protected from spambots. You need JavaScript enabled to view it.

  • Is this for you?

    Whether you are a principal investigator, a project coordinator, a research institution manager, a national ministry policy maker/funder or an EC project officer, you should be aware of Open Access mandates and issues, how to implement them and how to monitor them. 

    Our main goal is to work with the EC (FP7 and Horizon 2020) to implement its scientific output OA mandates. In doing so, we continuously gather information on how to make OA a success, addressing awareness, legal and technical issues. We maintain a pan-European OA network which can support you in adhering to these policies. 

    How to benefit

    Through our technical infrastructure, we are able to gather scientific output from various sources and link it to funding information (on the project level) and to the people/organizations affiliated. Based on this, and the application of processes for inferring links between main scholarly communication objects, we are able to produce statistics for the OA monitoring and indicators on the research output and its impact.

    Statistics on specific projects

    project stats

    Statistics on the OA national output

    national stats

    Inferred research links

    research trends 

  • 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:

    FUNDER NAME (MANDATORY), e.g. Wellcome Trust, EC
    FUNDING STREAM(S) (OPTIONAL) – funding categories for more detailed statistics

    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)
  • Link

    Your research results. Associate them with funding.
  • Join

    Register & validate your source. Literature, data repositories, OA journals, CRIS systems.
  • Monitor

    View Open Access progress. Analyze research.
  • Publish

    Learn how to get funds for your post-grant FP7 publications.

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    Want to share your data and have privacy issues?
    Learn how we can help you anonymise it...