How to be FAIR with your data

This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021

How to be FAIR with your data

This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021

D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions

This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching. It was written and edited by a group of about 40 collaborators in a series of six book sprint events that took place between 1 and 10 June 2021. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021

Progress on open science:towards a shared research knowledge system. Final report of the open science policy platform.

This is the final version. Available from the publisher via the DOI in this record.This final report of the EU Open Science Policy Platform (OSPP) provides a brief overview of its four-year mandate from 2016 to 2020, followed by an update on progress by each stakeholder group over the past two years since the publication of the OSPP’s recommendations across the European Commission’s eight ambitions on Open Science, (OSPP-REC1 ). This summary of Practical Commitments for Implementation with specific examples of progress by each stakeholder community across Europe (see Annex A) is followed by a perspective from each group on the major outstanding blockers to progress and possible next steps. The group of 25 key stakeholder representatives have then come t

Progress on Open Science: towards a shared research knowledge system. Final report of the Open Science Policy Platform

This final report of the EU Open Science Policy Platform (OSPP) provides a brief overview of its four-year mandate from 2016 to 2020, followed by an update on progress by each stakeholder group over the past two years since the publication of the OSPP’s recommendations across the European Commission’s eight ambitions on Open Science, (OSPP-REC1). This summary of Practical Commitments for Implementation with specific examples of progress by each stakeholder community across Europe (see Annex A) is followed by a perspective from each group on the major outstanding blockers to progress and possible next steps. The group of 25 key stakeholder representatives have then come together to propose a vision for moving beyond Open Science to create a shared research knowledge system by 2030

How to be FAIR With Your Data: a Teaching and Training Handbook for Higher Education Institutions

This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021

The State of Open Data Report 2022

Il s\u27agit de la plus longue enquête longitudinale et analyse des données ouvertes

Connecting Data Publication to the Research Workflow: A Preliminary Analysis

The data curation community has long encouraged researchers to document collected research data during active stages of the research workflow, to provide robust metadata earlier, and support research data publication and preservation. Data documentation with robust metadata is one of a number of steps in effective data publication. Data publication is the process of making digital research objects ‘FAIR’, i.e. findable, accessible, interoperable, and reusable; attributes increasingly expected by research communities, funders and society. Research data publishing workflows are the means to that end. Currently, however, much published research data remains inconsistently and inadequately documented by researchers. Documentation of data closer in time to data collection would help mitigate the high cost that repositories associate with the ingest process. More effective data publication and sharing should in principle result from early interactions between researchers and their selected data repository. This paper describes a short study undertaken by members of the Research Data Alliance (RDA) and World Data System (WDS) working group on Publishing Data Workflows. We present a collection of recent examples of data publication workflows that connect data repositories and publishing platforms with research activity ‘upstream’ of the ingest process. We re-articulate previous recommendations of the working group, to account for the varied upstream service components and platforms that support the flow of contextual and provenance information downstream. These workflows should be open and loosely coupled to support interoperability, including with preservation and publication environments. Our recommendations aim to stimulate further work on researchers’ views of data publishing and the extent to which available services and infrastructure facilitate the publication of FAIR data. We also aim to stimulate further dialogue about, and definition of, the roles and responsibilities of research data services and platform providers for the ‘FAIRness’ of research data publication workflows themselves

Translational neuroscience: the state of the nation (a PhD student perspective)

Many brain disorders are currently untreatable. It has been suggested that taking a ‘translational’ approach to neuroscientific research might change this. We discuss what ‘translational neuroscience’ is and argue for the need to expand the traditional translational model if we are to make further advances in treating brain disorders