Aineistot/en

Open research data and methods

Policy objective

Research data and methods are as open as possible and as closed as necessary. The data is managed appropriately with the aim of implementing the FAIR principles. Research methods and research data are identified as independent research outputs.

Introduction

This policy consists of policy components. The first policy component concerns research data and is completed in the spring of 2021. The policy component on research methods, including code and software, is estimated to be completed in 2022. On a general level, the openness of research data and methods and good data management improve the possibilities of research verification and promote the appropriate reuse of existing research data and methods. Openness increases global equality, as the research data can be accessed by researchers globally. This in turn promotes the emergence of new innovations. The openness of research data and methods raises significant questions related to research integrity and legislation and involves restrictions, of which researchers and others working in data management must be aware. To implement equality both on a national and an international level, openness of research data and methods must be promoted in an economically sustainable way. Economically sustainable fostering of openness means that key open science infrastructures are not profit-ori-ented. In Finland, research data produced with public funding must be open accessible for all.

Freedom of research and the responsibility of the researcher

This policy is based on national and international policies on open access to research data and methods. Its objective is to support the principles of open science and increase freedom of research as well as researchers’ possibilities of distributing and utilising research-based knowledge. It is the researcher’s responsibility to carry out research of the best possible quality, which includes responsible management of research data and methods. The repository selected for the research data and methods must be such that it best suits the whole in question and provides service in accordance with the FAIR principles. The purpose of open access is to make the further use of research data and methods as open as possible. The degree of openness can be restricted for justified reasons. The research community must guarantee the skills, incentives, resources and structures for opening research data and methods (e.g., infrastructures and services) in a way that supports and respects the work and equality of the researchers.

International context

This policy has been drawn up utilising the extensive national and international work that has been and is done towards promoting the openness of research data. Good summaries of this work are, among others, the plan drawn up by the Association of European Research Universities, Open Science and its Role in Universities: A Roadmap for Cultural Change (2018), and the final report published by the European Commission, Turning FAIR into Reality. Final report and action plan from the European Commission expert group on FAIR data (2018) . The operating environment is further shaped by current and future EU regulation on the openness of data, e.g. the Open Data Directive. Scholarly publishers require authors of research publications to provide open access to their data and methods. Scholarly publishers also allow or require authors to save their research data or methods in repositories that can be closed, open or behind paywalls,.

Funders require the opening of research data and methods, which is closely connected to good research data management. An example of this is Science Europe’s guideline Practical Guide to the International Alignment of Research Data Management.

By ensuring that the Finnish policy reflects the international development, the Finnish research community participates in the creation of common international practices in this swiftly growing and developing area. Finnish operators actively participate in European and international work, e.g. in the European Open Science Cloud (EOSC) and Research Data Alliance (RDA) communities. The Finnish research community participates in a dialogue where it can obtain good practices and contribute to the creation of workable solutions.

Risks and threats

This policy includes identified risks. The opening of research data and methods is based on good data management. However, implementation of responsible conduct of research and good research data management requires resources and economic incentives targeted towards research organisations during the entire lifecycle of the research data and methods. To make resources available for the entire lifecycle, organisations in different roles should commit to the maintenance of resources. Investment in services, meanwhile, promotes more efficient resource utilisation and creates savings. Researchers are concerned about opening sensitive and confidential research data (e.g. personal information) and methods. For this reason, different degrees of openness and the researcher’s right to primary use should be considered. In some cases, it is enough to open the metadata. Opening research data and methods brings up juridical (e.g. contractual) questions as well as the legal protection of researchers in relation to research data and methods. Research funding organisations and scholarly publishers increasingly require open research data and methods. From the viewpoint of funding applicants, the risk is that research funding declines or is claimed back if research data cannot be opened. Reasons for not opening research data and methods include lack of skills, services and infrastructures. Legislative, ethical and contractual restrictions can also prevent openness.

Structure and background of the policy

This policy has been drawn up by the Finnish research community. The progress of the work has been the responsibility of a working group assembled by the expert group on open data at the Open Science Coordination (the Federation of Finnish Learned Societies). The work has been directed by the National Open Science and Research Steering Group. The policy supports the Declaration for Open Science and Research 2020–2025. This policy on open access to research data and methods consists of strategic principles common to the entire policy and two policy components in which objectives and actions are set out for each area. The strategic principles describe general preconditions for the pursuit of open access to research data and methods. They formulate principles that are important for the research community and must be adhered to when implementing openness. The objectives listed in the policy components comprise more time-bound, specific and measurable objectives for openness. The objectives are accompanied by concrete actions required for their achievement. The changing international environment affects the objectives and the related actions more quickly than the principles. The vocabulary used in the policy (see appendix 1) supports the readability and sufficient comprehensibility of the document. The vocabulary of open science differs across fields of science, and the terms and their translations vary greatly in legislation. The terms are defined in different ways in different contexts. Due to the differences between fields of science, it is difficult to create a comprehensive vocabulary.
Picture 1. The policy in relation to other national open science documents.

Implementation and monitoring

The implementation of the policy on open access to research data and methods is the responsibility of the entire Finnish research community, and the policy will come into effect gradually. The policy component on open access to research data is completed in spring 2021, and the policy component on research methods in spring 2022. The entire policy, including policy components, will be reviewed no later than 2025.

The monitoring of the implementation of the policy is the responsibility of the Open Science Coordination at the Federation of Finnish Learned Societies. It is the Coordination’s responsibility to support and promote continuous discussion in order to reach the objectives and to keep the policy up to date. The monitoring mechanisms for the openness of research data and methods will be part of the national open science monitoring programme that is being developed.

Strategic principles

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.

Open research data and methods.
National policy and executive plan by the higher education and research community for 2026–2030.

EXECUTIVE SUMMARY

THIS POLICY FOR OPEN ACCESS to Research Data and Methods supports the Declaration for Open Science and Research 2025–2030 and its overarching principle that research should be as open as possible and as closed as necessary. This policy builds on extensive national and international work and dialogue. It has been drawn up by the Finnish research community and coordinated by National Coordination for Open Science and Research (the Federation of Finnish Learned Societies).

The policy focuses on the openness of research data and methods. It views openness as an element of research quality and impact across the full life cycle of research and as an opportunity to advance global inclusivity in research. It considers research data and methods as independent research outputs, and generally encourages opening up the research process as early and widely as possible, and requests that limitations to openness should be justified. Existing frameworks, such as the FAIR principles, can be used to regulate the level of openness for research data and various types of methods.

All fields of higher education and research are covered by this policy. The diversity across fields forms challenges for translating and implementing best practices. The policy emphasises general principles of responsible management of research resources, access to appropriate services, and responsible research evaluation. These guiding principles have been formulated as specific objectives and actions for researchers, research and funding organisations, and other actors. The Open Science Coordination at the Federation of Finnish Learned Societies will monitor the implementation and further development of this policy as part of the national open science monitoring programme.

COMMITMENTS OF THE POLICY

RESEARCH DATA AND METHODS are as open as possible and as closed as necessary. The data is managed appropriately with the aim of implementing the FAIR principles. The FAIR principles are also applied to methods when appropriate. Research methods and research data are identified as independent research outputs. Unless stated otherwise, in this policy the term ‘research output’ refers to research data and methods. Other research outputs are addressed in their respective policies, Open access to scholarly publications and Open education and educational resources.

INTRODUCTION

THIS POLICY FOR OPEN ACCESS to Research Data and Methods updates and replaces the two policy components originally published separately by the Federation of Finnish Learned Societies in 2021–2023. The updated policy combines these components into a single, unified document. Since these policies were originally published, many of the concepts then considered new have become established among the research community. Data management, the FAIR principles and research data sharing have become more widely adopted. This development has been driven by research funders’ requirements, training provided by research organisations and researchers’ ability to adopt new practices. Despite these developments, the policies promoting openness remain valuable. For instance, unclear responsibilities can lead to a loss of openness to research data and methods. In addition, research security concerns have prompted research organisations to view regional preservation and restricted sharing of data and methods as matters of digital resilience and digital sovereignty. As societal changes can happen quickly, it is crucial to safeguard digital sovereignty and data resilience through proper handling, preservation and restricted sharing of high-value digital assets.

Openness to research data and methods strengthens research quality and impact. Openness can strengthen various aspects of research quality, including, for instance, integrity and credibility, reproducibility and verifiability and translatability of research into new uses. These objectives are challenged by cultural and technical bottlenecks as well as the continuous, iterative processual nature of methods development and application, which is often inseparable from research and innovation. Increased openness can thus support the transparency of the entire research process. Openness can also increase the impact of research on society at large as well as on research practice, including, for instance, enhanced accessibility, transparency, speed, efficiency, or new opportunities for collaboration, development and innovation. Examples of how openness can strengthen research quality and impact can be found from the recipients of the national open science awards.

The FAIR principles guide openness to research data and methods, providing a systematic framework for defining and implementing the appropriate level of openness and for assessing it as part of responsible research evaluation. The FAIR principles refer to the quality of research data and methods from the viewpoint of further use. The goal of the principles is to make research data and methods Findable, Accessible, Interoperable and Reusable (see Glossary). Although the FAIR principles can be seen to articulate the general aims of openness to research data and methods, there are also other frameworks that can be helpful within specific scientific domains. In quantitative research, the exact replicability of a study or parts of it can be the target outcome of openness, whereas in qualitative research, enhancements in the transparency of documentation and argumentation may be emphasised.

Openness to research data and methods support sustainable development goals and digital resilience. Openness can remove barriers to access and promote inclusivity and equal access to knowledge by facilitating interdisciplinary research, global equality and the achievement of the Sustainable Development Goals. Openness can support novel ways of public and private sector cooperation, advancing regional innovation capability. Research organisations should view regional and national digital preservation and data sharing infrastructures and services as tools to improve digital resilience. Proper management, protection and archiving of high-value digital assets, including critical infrastructure involving environment and safety, can support digital sovereignty. When deciding on the appropriate level of openness, researchers must also consider research security aspects, including possible dual use of technology in military applications. The preservation and restricted sharing of high-value digital assets can be seen as cornerstones of data resilience and digital sovereignty.

International framework. This revised policy continues to align with different national and international guidelines and frameworks promoting openness and of research data and methods, including the aforementioned FAIR principles. In line with the UNESCO Recommendation on Open Science, the policy recommends that research and funding organisations, learned societies, publishers and editorial boards should adopt policies that require and advance open access to research. Finnish actors actively participate in European and international work, e.g. in the European Open Science Cloud (EOSC), the Research Data Alliance (RDA), International Science Council Committee on Data (CODATA) communities and European research infrastructure work. The operating environment is further shaped by current and future EU regulation on the openness of data, e.g. the Open Data Directive and European initiatives on digital sovereignty such as the European Digital Commons Infrastructure Consortium.

This policy encourages researchers and research organisations to open up the research process—including data and methods—as early and widely as possible. Early dissemination can help researchers establish priorities and receive timely feedback to improve the work, thus increasing the overall research quality and impact. As a general rule, researchers should justify limitations to the openness of data and methods underlying published research and expert statements and not limit openness more than necessary. When defining the appropriate level of openness for their research data and methods, and the services used for their preservation, researchers should take into consideration the aspects of research security and digital sovereignty.

FREEDOM OF RESEARCH AND THE RESPONSIBILITY OF THE RESEARCHER

This policy supports the principles of open science as well as researchers’ freedom and possibilities to distribute and utilise research-based knowledge across the full life cycle of research. Researchers and research organisations are responsible for carrying out and disseminating research of the best possible quality and impact, and they have the right and freedom to choose the approaches that best serve these goals. This includes responsible management and openness of data and methods, which must be evaluated in the context of the research domain and life cycle. As an element of research quality and impact, openness is therefore compatible with the freedom of research and the intellectual and other rights of a researcher.

Responsible openness is an essential aspect of research integrity. Open research practices raise significant questions related to research integrity and legislation. These may imply restrictions, of which researchers and others working with the management of research data and methods must be aware. Whereas legislative, ethical, contractual or other restrictions and ambiguities can limit openness, good research practice justifies such limitations. Limitations to openness should not be justified merely by established traditions, and funders and research organisations should generally encourage and support the adoption of good open research practices across fields.

The Finnish legislation supports broad availability of research data and methods for commercial purposes. Open research data and methods provide new opportunities for governmental and industrial actors to benefit from research. This policy supports national recommendations for open science in collaboration with non-academic partners, including governmental and non-governmental organisations, companies, and commercialisation.

Limitations on commercial use are not compliant with the open source definition; non-commercial clauses in open licences do not qualify as open access and shall be generally avoided. Industrial collaboration, commercialisation, and other development and innovation activities may, however, also create the need and justification to limit the level of openness. Researchers are hence responsible for seeking solutions that are compatible with the overarching principle “as open as possible, as closed as necessary”, and research organisations are responsible for providing the necessary support and incentives for the responsible opening of research resources.

Funders and research organisations should evaluate openness according to the guidelines on responsible research evaluation based on the overall research quality and impact. Recognising the diversity of research and paying attention to variations in the type, life cycle, and role of data and methods in different disciplines are critical factors in responsible evaluation. The different roles related to the development and use of open practices at different stages of research should be recognised, and merit mechanisms can be designed to reward operators at different levels from individuals to teams, units, and entire organisations.

RISKS AND THREATS

The responsible management of research acknowledges that opening up research resources and combining proprietary and open platforms brings up juridical (e.g. contractual) questions as well as the legal protection of researchers and research subjects. The process of selecting the appropriate degree of openness should be knowledge-driven. When there are ethical, legal, or other clear and justifiable limitations that prevent the opening of data or methods, it is important to describe the resources as transparently as possible, for instance by publishing metadata or other descriptions of the research design. Access to clear definitions, guidelines and support services that take into account discipline-specific differences and economic sustainability can facilitate the openness of research. Researchers may face risks of declining funding and publishing difficulties if research data and methods cannot be opened as planned.

Certain types of research data or methods can be openly used based on established community norms. However, researchers and research organisations can remarkably increase the level of openness and clarify the reuse rights by granting explicit permissions for reuse. In some fields, this can be achieved through open licences, allowing the sharing of derivative versions of, for example, source code, software or protocols. The concept of ownership may vary across research fields, however; in some fields, sharing and reuse may be broadly allowed by community norms rather than explicit licences or permissions. Researchers may also find it challenging to define the boundary between the need for privacy protection and openness, and questions related to this topic can be beyond the expertise of an individual researcher. The FAIR principles can be used to set the balance between openness and protection of data and methods when necessary.

A Data Management Plan (DMP) supports the systematic planning, definition and management of the level of openness of data and methods starting from the early stages of the research life cycle, and it should be actively maintained and updated as necessary during research. A DMP facilitates risk assessment, and it includes accessible justifications for possible limitations to the level of openness. The research community, together with the research ethical committees, could benefit from the development of general guidelines on how the openness of data and methods can be advanced as part of responsible research and reconciled with the other aspects of research integrity, such as the need to protect research subjects or control dual use of technology, for instance.

The advancement of open research practices also relies on the available resources. The lack of resources, skills, services or infrastructures may challenge open practices. Researchers should have the necessary skills and support to apply open research practices. Research organisations must secure the availability of sufficient support, incentives, and resources for opening data and methods in a way that respects the work and equality of the researchers and facilitates efficient and collaborative knowledge creation. The implementation of responsible conduct of research and good management of research resources requires resources and economic incentives targeted towards research organisations during the entire lifecycle of research and across all levels of education. Organisations in different roles should commit to the development and maintenance of such resources, with a parallel investment in services promoting more efficient utilisation of the resources and creating savings.

STRUCTURE AND BACKGROUND OF THE POLICY

This policy has been drawn up by the Finnish research community. The progress has been the responsibility of two working groups assembled by the expert group on open data at the National Coordination for Open Science and Research (the Federation of Finnish Learned Societies). The work has been directed by the National Open Science and Research Steering Group. The policy supports the Declaration for Open Science and Research 2025–2030.

This policy on open access to research data and methods consists of strategic principles as well as more specific objectives and actions. The strategic principles describe general preconditions for the pursuit of open access to research data and methods. They formulate principles that are important for the research community and must be adhered to when implementing openness. The specific objectives listed in the policy comprise more time-bound and measurable objectives to support and advance openness. The objectives are accompanied by concrete actions that are required to achieve the objectives. The changing international environment affects the objectives and the related actions more quickly than the principles.

The relevant vocabulary differs across research fields and the terms, definitions, and translations vary greatly in legislation and different contexts. The Glossary clarifies key terminology and aims to support the overall readability and comprehensibility of this policy document.

IMPLEMENTATION AND MONITORING

The implementation of this policy is the responsibility of the entire Finnish research community, and the policy will come into effect gradually. The policy component on open access to research data was completed in spring 2021, and the policy component on research methods in 2023. This document constitutes a comprehensive revision of the policy, undertaken in 2026. In conjunction with this update, a decision was made to remove research infrastructures from this policy. The present policy focuses specifically on open research data and research methods. The policy will be reviewed no later than 2030.

The evaluation of the implementation of this policy should embrace the diversity across research fields while encouraging early, broad, and responsible openness and long-term availability. Research organisations should support researchers in implementing this policy and in disseminating and adopting good practices across disciplines. Research data and methods can also be considered as independent research outputs that can support the overall research quality and impact.

The monitoring of the implementation of the policy is the responsibility of the Open Science Coordination at the Federation of Finnish Learned Societies. It is the Coordination’s responsibility to support and promote continuous discussion in order to reach the objectives and to keep the policy up to date. The monitoring mechanisms for the openness of research data and methods will be part of the national open science monitoring programme.

STRATEGIC PRINCIPLES

PRINCIPLE 1: Research data and methods shall be managed, opened and used responsibly and appropriately.

PRINCIPLE 2: Researchers have access to infrastructures and services that enable responsible management of data and methods, and these are further developed in an economically sustainable way, taking into account the researchers’ needs.

PRINCIPLE 3: The researcher’s merits in promoting good data management, work related to research data and methods, and the appropriate opening of research data and methods are valued and support the researcher’s career.

PRINCIPLE 4: Research data and methods are managed in a way that ensures digital sovereignty and the resilience of research data. By default, data are handled and shared through services and infrastructures that comply with European Union legislation, thereby supporting independent data governance, information security and knowledge security.

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Objective 1: Strategic leadership and decision-making

Research organisations have organised, structured and assigned responsibility for the strategic management of research data management and decision-making at organisational level.

Actions required to achieve the objective:

1. Clear and transparent responsibilities and decision-making. The research organisation ensures that responsibilities and decision-making related to research data management and the production, use and development of data management services are clear and transparent.

Objective 2: Incentives and monitoring

Research organisations promote the openness, reuse and responsible management of research data by creating incentives and monitoring mechanisms.

Actions required to achieve the objective:

1. Incentives. The research organisation actively develops incentives to enable the publication and reuse of research data.
2. Indicators and monitoring. The research organisation develops indicators and monitoring for responsible data management.

Objective 3: Data management plans

Each research and development project draws up a data management plan that covers all stages of the research data life cycle.

Actions required to achieve the objective:

1. Higher education institutions offer instructions, practices and training in data management planning. The research organisation integrates the creation and updating of data management plans into its research and service processes and makes use of the information obtained from machine-readable, continuously updated plans.
2. Providing data management training. The research organisation provides data management training, support and guidance tailored to the needs of its community to students and researchers, research, development and innovation staff, teachers and thesis supervisors at all career stages.
3. Commenting theses related data management plans. The research organisation ensures that thesis supervisors evaluate and comment on data management plans as part of their supervision work.
4. Research organisations support research planning in data management. The research organisation supports research design so that the costs of data management can be anticipated.

Objective 4: Rights and obligations related to the use of research data

The rights and responsibilities related to the use of research data must be clearly agreed upon by all participants in the research.

Actions required to achieve the objective:

1. Research Organisation's Data Legal Practices. The research organisation creates clear and consistent principles and practices, such as contract templates, for agreeing on the rights and responsibilities related to data produced in research. Contractual practices support the ability of researchers to work and collaborate nationally and internationally.
2. The research organisation provides guidance on legislation. The research organisation provides guidance, training and support on legislation and licensing related to research data management.
3. The research organization provides instructions on references. The research organisation provides guidance on how to cite research data and requires citations to the research data used in research in its publication guidelines.
4. Data storage service. The research organisation ensures that its data storage services (such as data repositories, data catalogues, and data archives) provide guidance on how to cite the research data stored in them and how the terms of use are presented.

Objective 5: Documentation supports FAIR research data

Research data produced in research and development projects and its life cycle are documented so that metadata supports the verification of research data and results, and the reuse, further use, findability, interoperability and accessibility of research data in accordance with the FAIR principles.

Actions required to achieve the objective:

1. Research organisations support researchers in choosing data. The research organisation supports researchers in selecting and assessing the value of the research data to be preserved.
2. Training and support for documenta-tion of research data. The research organisation supports the documentation of research data, reproducibility of research and production of metadata by providing appropriate services, guidance and training.
3. Prepareations for the documentation costs. The research organisation supports research planning so that research projects are prepared for the resourcing of data documentation

Objective 6: Research data management solutions

The research organisation provides appropriate technical solutions and services for research data management.

Actions required to achieve the objective:

1. Supporting infrastructure and services provided by the research organization. The research organisation provides the infrastructure and services needed to support the storage, preservation, processing and sharing of research data at different stages of its lifecycle.
2. Reference architectures. The research organisation utilises relevant reference architectures, such as the Open Science and Research Reference Architecture 2024–2030 and the Data Management Reference Architecture, in developing the infrastructure and service framework described above

Objective 7: Research organisations engage in multiprofessional cooperation

Research organisations engage in multiprofessional cooperation for the development of training, skills, and required data management services.

Actions required to achieve the objective:

1. The research organisation develops skills, practices and services. The research organisation develops skills, practices and services in national and international collaboration.
2. The expert roles and job descriptions. The research organisation describes the expert roles and job descriptions needed in its organisation and creates career paths for these roles. Data management skills are recognised and acknowledged.
3. Expert training in data management. The research organisation offers expert training in data management or enables participation in such training.

Literature

International sources

Ayris, Paul; López de San Román, Alea; Maes, Katrien; Labastida, Ignasi (2018): Open Science and its Role in Universities: A Roadmap for Cultural Change. League of European Research Universities (LERU).

Ball, A. (2014). DCC How-to Guides: How to License Research Data. Digital Curation Centre, Edinburgh.

Directorate-General for Research and Innovation, European Commission (2018): Turning FAIR into Reality. Final report and action plan from the European Commission expert group on FAIR data. doi.org/10.2777/1524.

Directorate-General for Research and Innovation, European Commission (2018): Prompting an EOSC in Practice. Final report and recommendations of the Commission 2nd High Level Expert Group on the European Open Science Cloud. doi.org/10.2777/112658.

Directorate-General for Research and Innovation, European Commission (2016): Guidelines on Fair Data Management in Horizon 2020.

Directive (EU) 2019/1024 of the European Parliament and of the Council on open data and the re-use of public sector information.

FORCE11 Group: Guiding Principles for Findable, Accessible, Interoperable and Re-usable Data Publishing.

Rans, J and Whyte, A. (2017). Using RISE, the Research Infrastructure Self-Evaluation Framework. Digital Curation Centre, Edinburgh.

RDA FAIR Data Maturity Model Working Group (2020): FAIR Data Maturity Model: specification and guidelines. Research Data Alliance. doi.org/10.15497/RDA00045.

RRI-Practice: “What is RRI?”. https://www.rri-practice.eu/about-rri-practice/what-is-rri/.

Science Europe (2018): “Practical Guide to the International Alignment of Research Data Management”.

Springer Nature: “Data Availability Statements”.

UK Concordat on Open Research Data (2016).

UNESCO (2020). First draft of the UNESCO Recommendation on Open Science.

Finnish sources

Data Management Guidelines. Tampere: Finnish Social Science Data Archive (maintenance and production). urn:nbn:fi:fsd:V-201504200001.

Finnish Committee for Research Data (2018): Tracing Data: Data citation roadmap for Finland.

Fuchs, S. & Kuusniemi, M. E. (2018): Making a research project understandable – Guide for data documentation. doi.org/10.5281/zenodo.1914401.

Key policies and publications of the Open Science and Research project (Avoin tiede ja tutkimus -hanke, 2014–2017).

Open Science Coordination in Finland, Federation of Finnish Learned Societies (2019): Open access to scholarly publications. National Policy and executive plan by the research community in Finland for 2020–2025 (1): Policy component for open access to journal and conference articles. Responsible Research Series 3:2019. DOI: https://doi.org/10.23847/isbn.9789525995343.

Open Science Coordination in Finland, Federation of Finnish Learned Societies (2020): Declaration for Open Science and Research 2020–2025. Responsible Research Series 3:2020. DOI: doi.org/10.23847/isbn.9789525995251.

Parland-von Essen, J., Fält, K., Maalick, Z., Alonen, M., & Gonzalez, E. (2018). Supporting FAIR data: Categorization of research data as a tool in data management. Informaatiotutkimus, 37(4). doi.org/10.23978/inf.77419.

Tuuli Project (2019): Additional instructions for planning the management of sensitive and confidential data. [Zenodo] doi.org/10.5281/zenodo.3247282.

UNIFI (2018): Open Science and Data Action Programme.

Glossary

• Not found Tutkimusaineisto

Research data: Research data is material collected, detected, measured or created to confirm hypotheses and verify research results. Research data can usually be in digital format but also in analogue or physical format (e.g., laboratory journals).

Metadata: Metadata or descriptive information refers to the context, content and structure, management and/or processing of research data and information describing and summarising its compilation.

Research data openness: For the purposes of this policy, research data openness, refers to the findability, accessibility, usability and shareability of research data for other researchers. Open access to research data requires good and responsible data management. Reuse of research data is supported through licenses, or its use may require an appropriate research permit. The responsible processing of research data that contains personal information or is sensitive or confidential requires the researcher to comply with both legislation and good practices in research integrity. In such cases, however, it is often possible to open the metadata of the research data and to provide other researchers with the opportunity to access the data through a separate agreement on the transfer.

Good and responsible research data management: For the purposes of this policy, good management means that research data and the related metadata has been “created, saved and organised so that the research data remains usable and reliable, and that data security and privacy are ensured throughout the lifecycle of the research data”. In addition, good research data management in the very context of open science means that the principle of “as open as possible, as closed as necessary”, the FAIR principles and the principle of responsibility are taken into account at all stages of the research process. Good research data management is a necessary prerequisite for open access. Evaluation of good research data management is based on the following viewpoints:

1. According to the principle “as open as possible, as closed as necessary”, data that can be opened for access and reuse must be opened. Correspondingly, data which cannot be opened and shared must be protected and safely stored. It is ultimately the researcher’s responsibility to determine which group the research data falls into. Refraining from opening data always requires justification.
2. The FAIR principles refer to the quality of research data from the view-point of its further use. The principles aim to make research data
   • Findable
   • Accessible
   • Interoperable
   • Reusable

   Research data and metadata complying with the FAIR principles are semantically interoperable, i.e. they must be structured, described, tagged and licensed well enough, as well as stored safely, to be findable and machine readable. In most areas, it is not yet possible to create data that is fully compliant with the FAIR principles due to lack of skills and services or due to the nature of the data.

3. For the purposes of this policy, responsible data management refers to:
   • knowledge of and compliance with the principles of the field of research
   • knowledge of and compliance with the principles of research integrity
   • knowledge of and compliance with legislation
   • knowledge of and compliance with the principles of data security and privacy

   Responsible research data management is a prerequisite for all forms of data openness. Responsible data management requires that the data and metadata are managed in a way that is compliant with data security, privacy and research integrity. Responsible data management and the possibility for opening research data it entails are part of responsible conduct of research.

Policy working group

• Minna Ala-Mantila, CSC – IT Center for Science
• Nina Edgren-Henrichson, Svenska litteratursällskapet i Finland Pamela Gustavsson, Svenska litteratursällskapet i Finland Kaisa Hakkila, University of Turku
• Anne Holappa, The Finnish Copyright Society
• Outi Hupaniittu, The Finnish Literature Society
• Nina Järviö, The Finnish Federation of Learned Societies (secretary –03/2020)
• Meri-Tuulia Kaarakainen, University of Turku
• Miki Kallio, University of Oulu
• Anu Kantola, Natural Resources Institute in Finland
• Liisa Karlsson, University of Helsinki
• Olli-Pekka Kaurahalme, University of Turku
• Joona Koiranen, Metropolia University of Applied Sciences
• Tuija Korhonen, University of Helsinki
• Mari Elisa (MEK) Kuusniemi, University of Helsinki/Tuuli
• Hanna Lahdenperä, The Finnish Federation of Learned Societies (secretary. 05/2020–)
• Heidi Laine, CSC – IT Center for Science
• Kristina Linnovaara, Svenska litteratursällskapet i Finland Riku Louhimo, Finnish Institute of Occupational Health Juuso Marttila, University of Jyväskylä
• Juhani Naskali, University of Turku
• Anssi Neuvonen, VTT Technical Research Centre of Finland
• Maria Niku, The Finnish Literature Society
• Tiina Nokkala, Turku University of Applied Sciences
• Elina Nurminen, Metropolia University of Applied Sciences
• Susanna Nykyri, Tampere University
• Turkka Näppilä, Tampere University
• Rainer Oesch, University of Helsinki
• Pekka Orponen, Aalto University & FCRD (chairperson –05/2020)
• Seliina Päällysaho, Seinäjoki University of Applied Sciences
• Antti Pursula, CSC – IT Center for Science
• Maria Rehbinder, Aalto University
• Mari Riipinen, University of Turku
• Sulevi Riukulehto, The Ruralia Institute, University of Helsinki
• Tomi Rosti, University of Eastern Finland (chairperson 05/2020–)
• Matti Ruuskanen, University of Turku
• Toni Saari, University of Eastern Finland
• Jussi Salmi, University of Turku
• Nina-Mari Salminen, Natural Resource Center Finland
• Hannele Seppälä, Finnish Education Evaluation Centre
• Janne Seppänen, University of Jyväskylä
• Tiina Sipola, University of Oulu
• Anne Sunikka, Aalto University
• Anna Suorsa, University of Oulu
• Ville Tenhunen, University of Helsinki, Center for Information Technology
• Heidi Troberg, University of Vaasa, Tritonia
• Antti Tuomi-Nikula, Finnish Institute for Health and Welfare

FAIR principles are a set of guidelines to make research data Findable, Accessible, Interoperable and Reusable. This facilitates scientific discovery and access to knowledge. (Open Science and Research Coordination in Finland 2023, 34.) The closely related FAIR4RS principles have been developed for research software.

are organised and documented procedures for carrying out research and working with research data in order to generate research results76. Specific research methods often cover some part of the research life cycle from data collection to study design, access, data selection and manipulation, documentation and reporting of the research contexts, protocols and plans like interview guides, and process of analysis including concrete actions and reasoning. The openness of research methods covers the specific methods as well as their overall combination that forms the overall research workflow across the full life cycle of research. Examples of research methods include documented argumentation chains, systematic reviews, questionnaires, interview guides, research diaries, interview template, writing requests, dictation, coding, documentation of the setup (e.g. hardware setup), experimental materials (e.g. reagents), design aspects such as determination of sample size, data exclusion, manipulations, and all relevant measures, methods and docu- mentation of data collection (e.g. with non-open measurement software), lab notebooks, guidelines, technology, hardware, soft- ware, algorithms, AI methods, source code, workflows, scripts, protocols, and models. Research data and research methods are not always distinguishable. A method may be published in a peer reviewed venue, or otherwise accepted and adopted by a research community.

Data Management Plan (DMP) is a formal and dynamic document that specifies how resources are managed across the life cycle of a thesis, covering, for instance, research data, analysis steps (e.g. protocols, algorithms, procedures), devices and tools (e.g. information on lab equipment and manufacturers, reagents, infrastructure, software), other relevant documentation, versioning, preservation, services, terms and conditions, and open development and sharing of research data, methods and infrastructures. (Open Science and Research Coordination in Finland, Federation of Finnish Learned Societies 2023, 34)

The publication in its entirety is available on the Internet free of charge and without restrictions to read, print and copy at least for non-commercial use.

Tutkimusaineisto (on tutkijan tai tutkimusryhmän tutkimusprosessin aikana käyttämä resurssi, eli digitaalisessa, analogisessa tai fyysisessä muodossa olevaa tieteellisen ja taiteellisen tutkimuksen perusaineistoa. Tutkimusaineisto on laajempi käsite kuin tutkimusdata, kattaen esimerkiksi lähdekirjallisuuden (esimerkiksi asiakirja-aineisto) ja näytteet (esimerkiksi verinäytteet, sammalet).

Research data is material collected, detected, measured or created to confirm hypotheses and verify research results. Research data can usually be in digital format but also in analogue or physical format (e.g., laboratory journals).

Med metadata avses beskrivande och sammanfattande information om forskningsmaterialets kontext, innehåll och struktur, behandling och/eller hantering samt insamling av det.

Metadata or descriptive information refers to the context, content and structure, management and/or processing of research data and information describing and summarising its compilation.

Metadatalla, metatiedolla tai kuvailutiedolla tarkoitetaan tutkimusaineiston kontekstia, sisältöä ja rakennetta, hallintaa ja/tai käsittelyä sekä sen kokoamista kuvaavaa ja tiivistettyä tietoa.

For the purposes of this policy, research data openness, refers to the findability, accessibility, usability and shareability of research data for other researchers. Open access to research data requires good and responsible data management. Reuse of research data is supported through licenses, or its use may require an appropriate research permit. The responsible processing of research data that contains personal information or is sensitive or confidential requires the researcher to comply with both legislation and good practices in research integrity. In such cases, however, it is often possible to open the metadata of the research data and to provide other researchers with the opportunity to access the data through a separate agreement on the transfer.

For the purposes of this policy, good management means that research data and the related metadata has been “created, saved and organised so that the research data remains usable and reliable, and that data security and privacy are ensured throughout the lifecycle of the research data”. In addition, good research data management in the very context of open science means that the principle of “as open as possible, as closed as necessary”, the FAIR principles and the principle of responsibility are taken into account at all stages of the research process. Good research data management is a necessary prerequisite for open access. Evaluation of good research data management is based on the following viewpoints:

1. According to the principle “as open as possible, as closed as necessary”, data that can be opened for access and reuse must be opened. Correspondingly, data which cannot be opened and shared must be protected and safely stored. It is ultimately the researcher’s responsibility to determine which group the research data falls into. Refraining from opening data always requires justification.
2. The FAIR principles refer to the quality of research data from the view-point of its further use. The principles aim to make research data
   • Findable
   • Accessible
   • Interoperable
   • Reusable

   Research data and metadata complying with the FAIR principles are semantically interoperable, i.e. they must be structured, described, tagged and licensed well enough, as well as stored safely, to be findable and machine readable. In most areas, it is not yet possible to create data that is fully compliant with the FAIR principles due to lack of skills and services or due to the nature of the data.

3. For the purposes of this policy, responsible data management refers to:
   • knowledge of and compliance with the principles of the field of research
   • knowledge of and compliance with the principles of research integrity
   • knowledge of and compliance with legislation
   • knowledge of and compliance with the principles of data security and privacy

   Responsible research data management is a prerequisite for all forms of data openness. Responsible data management requires that the data and metadata are managed in a way that is compliant with data security, privacy and research integrity. Responsible data management and the possibility for opening research data it entails are part of responsible conduct of research.