Open research data and methods, Open access to research data, Open access to research methods and infrastructures
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Principle 1: Responsible management of research data and methods
Research data and methods shall be managed, opened and used responsibly and appropriately.
Ensuring the realisation and monitoring of the principle:
- Baseline: Responsible management of research data and methods is the most important prerequisite for openness. The research community has identified deficiencies in its practices.
- Continuous monitoring: Continuous monitoring will be carried out as part of the national monitoring of open science and research.
Principle 2: Data management infrastructures and services
Researchers have access to infrastructures and services that enable responsible data management, and these are developed further in an economically sustainable way, taking into account the researchers’ needs.
Ensuring the realisation and monitoring of the principle:
- Baseline review: During 2021, the Open Science Coordination will, in cooperation with the research organisations and service providers, specify a minimum level of research data management infrastructures and services.
- Continuous monitoring:: No later than 2022, the Open Science Coordination will draw up an evaluation templateMaterials-footnote-8 for future use in organisations as an evaluation tool in regular self-evaluation. Continuous monitoring will be carried out as part of the national monitoring of open science and research.
Principle 3: Incentives for opening of research data and methods
The researcher’s merits in the promotion of good data management, work related to research data and methods, and the appropriate opening of research data and methods are valued and can support the researcher’s career.
Ensuring the realisation and monitoring of the principle:
- Baseline: No later than 2022, the Open Science Coordination will draw up a recommendation on good practices, i.e. how the promotion of good data management, work related to research data, and the opening of research data shall be considered in the researcher’s work, and how these merits will be evaluated.
- Continuous monitoring: Continuous monitoring will be carried out as part of the national monitoring of open science and research.
References
- ^ The FAIR principles refer to the quality of research data from the viewpoint of further use. The goal of the principles is to make research data Findable, Accessible, Interoperable and Re-usable. See Glossary.
- ^ The goal of responsible research and innovation is to encourage operators to produce ethically acceptable, sustainable and societally interesting research and innovation outputs. See RRI Tools: What does RRI mean? RRI Tools.
- ^ UNESCO Recommendation on Open Science (2021).[1].
- ^ Ayris, Paul; López de San Román, Alea; Maes, Katrien; Labastida, Ignasi: Open Science and its Role in Universities: A Roadmap for Cultural Change, League of European Research Universities, 2018; Turning FAIR into Reality. Final report and action plan from the European Commission expert group on FAIR data, Directorate General for Research and Innovation, European Commission, 2018. See also Lawrence, Rebecca; Mendez, Eva: Progress on open science: Towards a shared research knowledge system. Final report of the open science policy platform. Directorate General for Research and Innovation, European Commission, 2020.
- ^ Springer Nature: "Data Availability Statements".
- ^ First draft of the UNESCO Recommendation on Open Science.
- ^ Science Europe: Practical Guide to the International Alignment of Research Data Management, 2018.
- ^ TRans, J and Whyte, A. (2017). Using RISE, the Research Infrastructu-re Self-Evaluation Framework. Digital Curation Centre, Edinburgh.
- a b The Research community is defined according to the Declaration for Open Science and Research 2020–2025 (2020, 5) määritelmää.
- ^ First draft of the UNESCO Recommendation on Open Science.
- ^ [1].
- ^ Ball, A. (2014). "How to License Research Data. DCC How-to Guides. Edinburgh: Digital Curation Centre.
- a b Aineistonhallinnan käsikirja. Tampere: Finnish Social Science Data Archive. urn:nbn:fi:fsd:V-201504200001 (Retrieved 11.1.2021).
- ^ European Commission, DG Research & Innovation (2016). Guidelines on Fair Data Management in Horizon 2020.
- ^ FORCE11 Group: Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing.
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