Publications

The Science4Policy Kit, developed by Skills4EOSC Task 3.3, is a practical resource offering real-life examples of Science4Policy initiatives, providing a rich repository of diverse case studies for Competence Centres to include in training activities, or to inspire similar initiatives in their local contexts. The Science4Policy Kit was created using a dual approach combining landscaping and survey methodologies to gather data on Science4Policy initiatives across multiple countries. These initiatives were categorised into ten distinct types, with representative examples featured in the Science4Policy Kit, highlighting practical tools and successful methodologies which serve as an inspiration for integrating science into policy-making processes.

This publication introduces the Minimum Viable Skillsets (MVS) methodology, which defines essential profiles for research data professionals—individuals whose roles involve creating, collecting, or using research data, often as evidence. Each MVS profile centres on key elements of a role that supports Open Science. This briefing outlines the purpose, scope, and structure of these profiles. It addresses questions from Competence Centres regarding how MVS profiles can be utilized in skills development and the collaborative approach behind their creation.

This booklet introduces the Minimum Viable Skillset (MVS) for Data Stewards, essential for implementing Open Science principles and supporting the European Open Science Cloud. The MVS outlines two role variations: "Coordinator" and "Embedded." The "Coordinator" role supports an organisation’s research domains, while the "Embedded" role operates closely with specific research teams and their domain practices. These roles may overlap depending on resources, disciplinary needs, and organizational culture.

Open Science advocates for the democratisation of scientific research and its outputs, emphasising accessibility, transparency, and collaboration. This movement aims to enhance the quality, efficiency, and impact of scientific work, thereby fostering increased public trust and broader engagement. Central to this ecosystem is the Honest Broker, an entity (i.e. a person or a group of people) that plays a crucial role in bridging the gap between scientific research and policy-making. Honest Brokers act as neutral intermediaries, facilitating the use of scientific evidence in decision-making without pushing a particular agenda. They ensure that policy and decision-makers have access to reliable, authoritative, relevant scientific evidence, helping them to navigate the complexities of the Open Science resources. Open Science poses unique challenges and opportunities at the interface of science and policy. Access to vast amounts of scientific information can be overwhelming; hence, the Honest Broker’s role is crucial in making this information understandable and actionable.

Training is vital for the European Open Science Cloud (EOSC) to succeed as key EU Open Science research meta-infrastructure. It tackles the challenge of upskilling a large community of various stakeholders with the necessary competences to both build and use data and services. It is therefore important that the EOSC training community is able to efficiently collaborate ensuring the delivery of high-quality up-to-date trainings and learning opportunities. To help achieve this goal, Task 3 of Work Package 2 within the Skills4EOSC project has produced a methodology for developing FAIR-by-Design learning materials that will ensure maximum reusability of developed learning materials within the community and higher-quality materials.

This booklet is designed to offer policymakers insight into the essential connections between the United Nations Sustainable Development Goals (SDGs), Open Science, and Open Collections across various domains. It highlights how global policy goals are intrinsically linked to research initiatives that rely on Open Collections to provide evidence for decision-making. Policy measures to develop collections as research infrastructure are making collections more accessible useful for research and subsequently for evidence based policy and impactful decisions. Relevant use cases demonstrate how Open Science and Open Collections are fundamental to achieving the SDGs. We outline future directions for developing and expanding the necessary Open Access to collections.

This document is intended to be a collection of useful materials for the drafting of a privacy policy in research projects. Based on the experience gained in coordinating and participating in national and international projects, it was possible to identify the most problematic issues in the management and processing of personal data and, therefore, to write down forms that serve as models/templates to be used in concrete and realistic situations. The attachments in the following sections include the necessary and general requirements prescribed by current legislation and have been drafted to be adapted, once completed, to the specificities of the projects.