Monitoring Open Access Policy of Horizon 2020

The objectives of the study are the following:

1. Measure the uptake of open access publications by Horizon 2020 beneficiaries and compliance to the requirements set in Article 29.2 of the Horizon 2020 MGA.

2. Measure the uptake of the Open Research Data Pilot in Horizon 2020 and compliance to the requirementsset in Article 29.3 of the Horizon 2020 MGA.

3. Provide the Commission advice and a process through which to monitor compliance to the policy in the future.

4. Assess the progress of the Horizon 2020 open acess policy to date and provide lessons learned and recommendations for the future.

The services to be provided under this contract are structured into four tasks that respond to these objectives. More specifically the key activities to implement the study objectives will include:

-        Specify a set of indicators for assessing the H2020 open access to publications and data (ORD), its uptake and implementation, related methodologies for data collection, computation and analysis, and identify the most relevant and reliable data sources for each of indicators ensuring data quality including flexibility in the proposed approach to allow for a prompt adaptation of the indicators and related methodologies for data collection and computation if needed. (Tasks 1 and 2).

-        Using state-of-the-art research metrics, open data and open technologies the study will follow a comprehensive multi-stage approach to systematising and improving the monitoring activities of the OA policy in Horizon 2020 and Horizon Europe in terms of both content and process(Task 3).

-        Formulate the landscape and the intervention logic of the H2020 open access policy as regards to the objectives, expected impact, actors, expected cause-and-effect relationships. Run two parallel assessment exercises in terms of efficiency and effectiveness of the H2020 open access policy (Task 4).

The study methodology combines different quantitative and qualitative methods, including statistical analysis, bibliometric analysis, literature review, interviews and others. Study methodology is based on the following key aspects:

-          Openness: use reliable and authoritative data, from open sources to allow for replicability

-          Quality: use triangulation by using different and trusted data sources (some closed) to validate and enrich open data.

-          Authority: employ research analytics experts and verify results with the community.

-          Flexibility: use advanced technologies for visualization tools for enhanced understanding and fast turnarounds.

-          Immediacy: use existing data systems that employ big data, AI and robust technologies for efficient and performant data collection, error detection, cleaning and fusion.

The project is implemented by a consortium of three partner organisations, where the study is lead and coordinated by

-          Athena RC (as the Lead Partner, Greece), the team specialised in supporting the EU and ERC Open Access initiatives (such as OpenAire) and with variety of pertinent experience in such topics as Databases and Knowledge Bases, Digital Libraries, User Interfaces, Personalization, Data Warehouses, Data Mining, and Distributed Systems; 

-          PPMI Group (Partner, Lithuania), which brings extensive expertise both in monitoring and evaluation R&I, and also design and improvement of performance management and monitoring systems for variety of EU programmes (e.g., Marie Skłodowska-Curie Actions, Erasmus+, EaSI), and

-          UNU-MERIT (Partner, the Netherlands), one of the global research leaders in the fields of Innovation and Knowledge Management & Knowledge Economy.

Athena and UNU-MERIT are responsible for impementation of the Tasks 1 and 2 of the study, whereas PPMI Group is responsible for Tasks 3 and 4.

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