Deadline: 9-Mar-23
The European Commission (EC) has launched proposals for Planning, Tracking, and Assessing Scientific Knowledge Production.
scope
- Scientific knowledge production increases rapidly, and coherent methodologies, workflows and tools are needed to carefully plan research activity, track its impact and contribution, and assess its compliance with the FAIR principles to ensure a maximized gain from previous efforts.
- Data Management Plans (DMPs) have become essential companions to the research practice to ensure adequate planning and anticipate and overcome hurdles linked, for example, to the production and storage of data. However, DMPs are heterogeneous and limited efforts have taken place to promote their machine actionability or to automate their evaluation.
funding information
The check will normally be done for the coordinator if the requested grant amount is equal to or greater than EUR 500,000, except for:
- public bodies (entities established as a public body under national law, including local, regional or national authorities) or international organizations; other
- cases where the individual requested grant amount is not more than EUR 60,000 (low value grant).
expected outcomes
Project results are expected to contribute to all the following expected outcomes:
- Data Management Plans (DMPs) are standardized across disciplines to the extent possible. Their machine-actionability is supported by their integration in pertinent automated workflows, and by a pervasive and comprehensive use of persistent identifiers for a wide array of digital objects (eg, publications, data, software, workflows, storage, organisations, projects, funders, services, researchers, facilities, companies, etc.) to exploit the underlying interconnection.
- The evaluation of DMPs (assessing their completeness and adequacy) is increasingly automated relying on, for example, semantic web technologies, and building on existing and new evaluation metrics.
- Scientific Knowledge Graphs (SKGs) are widely adopted to enable a transparent research ecosystem, promoting provenance tracking and facilitating an increasing consideration to diverse research outputs in research assessment.
- Policies, models, licensing frameworks, workflows, and tools enable a cross-country and cross-discipline collaborative implementation of metrics to assess and improve the FAIRness of a wide range of digital objects beyond publications and data, including software, workflows, etc.
Eligibility Criteria
- To become a beneficiary, legal entities must be eligible for funding.
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To be eligible for funding, applicants must be established in one of the following countries:
- the Member States of the European Union, including their outermost regions,
- the Overseas Countries and Territories (OCTs) linked to the Member States,
- countries associated to Horizon Europe;
- the following low- and middle-income countries.
For more information, visit European Commission .
