Gap analysis

The gap analysis is the basis for recommendations for national and international stakeholders about the measures to align and harmonise policies in order to facilitate the implementation of the EOSC at national, regional and international level.

In order to analyse the difference between the actual status and the EOSC goals described in EOSC SRIA, the following subject areas were defined to focus the EOSC Synergy gap analysis: 

  • Open Science Strategy;
  • Permanent Identifiers (PID);
  • Funding;
  • Access provisioning;
  • Awareness, maturity and interest.

The underlying indicators and data for the gap analysis were derived from country landscape reports. 

The findings show a visible positive correlation between earlier adoption of Open Access and Open Science policies and the adoption of Open/FAIR Data strategies. Related recommendations propose bridging the identified gaps by strengthening and implementing RDM (research data management), FAIR data policies and practices, as well as raising awareness on these subjects. 

Analogous activities are recommended for the PIDs for all digital artefacts, coupled with the adoption of specific PID standards and cross border coordination of PID policies. 

The analysis of funding indicators shows a particular need to sustain e-infrastructures, research facilities, etc., with appropriate coordination of funding policies and investment plans at the country and the European level, with clear long-term targets. 

Harmonisation of cross-border access criteria for both the data and service providers and consumers, targets another set of recommendations to reduce the difference in access restrictions and the relevant access policies implementation. 

The awareness of EOSC among researchers and policymakers, the state of deployment of EOSC services and a subjective assessment of EOSC maturity differs widely, with countries on all sides of the range of the indicators.

EOSC-SYNERGY EU DELIVERABLE: D5.2 Landscape Gap Analysis and recommendations

EU Milestone MS22 Findings presented in an EOSC-related conference