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This website provides guidance on implementing FAIR (Findable, Accessible, Interoperable, and Reusable) principles in research. It offers practical advice, best practices, and resources to help researchers improve data management and sharing. The site is designed to support both beginners and experienced researchers in making their data FAIR-compliant as well as split into sections covering pre-, during, and after a research project.
Created by the University of Sheffield Library
This training curriculum offers a modular programme to support researchers in applying FAIR (Findable, Accessible, Interoperable, Reusable) principles and open research practices to their research software. The overview module provides an introduction to FAIR for research software and gives an overview of the topics that are offered in more detail in additional modules, which can be selected according to an individual’s learning goals.
Created by RSE at the University of Sheffield Library
FAIRsharing is a curated resource that helps researchers, funders, and publishers discover and select data standards, databases, and policies that support FAIR principles. It serves as a global registry to promote best practices in data sharing and interoperability across disciplines. The platform connects users with relevant resources to improve research transparency and reproducibility.
Operated by the University of Oxford
This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information.
Created by FAIRsFAIR
The WorldFAIR Project focuses on advancing the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) data principles globally. The website provides access to recorded webinar series and related materials.
Created by WorldFAIR project
The FAIR Cookbook is a resource developed by ELIXIR-Europe to guide life scientists in implementing FAIR data principles. It offers practical recipes and examples for making data Findable, Accessible, Interoperable, and Reusable. The website serves as a hands-on guide to improve data management practices in the life sciences.
Created by ELIXIR-Europe
The ALLEA report “Sustainable and FAIR Data Sharing in the Humanities” provides key recommendations to make digital data in the humanities “Findable, Accessible, Interoperable and Reusable”, in line with the FAIR principles. The document is designed as a practical guide to help scholars, research funders, professionals and policymakers navigate the shift towards a sustainable data sharing culture.
Created by Allea
A website with five recommendations for creating FAIR software. Very nicely done webpage with useful advice.
Created by The Netherlands eScience Center and DANS
This book provides comprehensive guidance on data stewardship, focusing on effective data management and governance strategies. It covers topics such as data quality, metadata management, and data policies, offering actionable insights for organizations and individuals handling data.e: This book provides comprehensive guidance on data stewardship, focusing on effective data management and governance strategies. It covers topics such as data quality, metadata management, and data policies, offering actionable insights for organizations and individuals handling data.
Book by David Plotkin
The paper is about the widespread adoption of the FAIR principles since their publication in 2016 and the need for consistent implementation to ensure true interoperability. It introduces the concept of FAIR implementation considerations to support global participation and convergence toward accessible, robust, and reusable solutions. The paper also provides interpretations and guidance on implementation choices and challenges for each FAIR principle.
Created by Data Intelligence
The Committee for Open Science mobilises education and research stakeholders to support the implementation of National Open Science Policy in a dynamic and coordinated manner. It is made up of several bodies that put forward guidelines, examine cases, make decisions and promote and support the actions linked to all of this. It is a fluid structure which facilitates the expression and feedback of ideas, commitments and contributions.
Created by The French Committee for Open Science
NASA is making a long-term commitment to building an open science community over the next decade. Open science is a collaborative culture enabled by technology that empowers the open sharing of data, information, and knowledge within the scientific community and the wider public to accelerate scientific research and understanding.
Created by NASA
ReproZip is an open source tool that helps users make their work completely reproducible. ReproZip can be used to reproduce a plethora of applications, including data analysis tools, scripts and software written in any programming language, graphical tools, interactive tools, client-server applications (including databases), Jupyter notebooks, and more!
Created by ReproZip
Barend Mons in his Nature opinion piece saying that by dedicating 5% of funding to data stewardship, researchers can enhance reproducibility and maximize the value of scientific outputs. Also, the article highlights the importance of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the cost of poor data management.
Author Barend Mons published in Nature
Python package to analyze a GitHub or GitLab repository's compliance with the fair-software.eu recommendations.
Created by https://github.com/fair-software
The terms4FAIRskills project has created a formalised terminology that describes the competencies, skills and knowledge associated with making and keeping data FAIR. This terminology can be used in a variety of use cases, including: to assist with the creation and assessment of stewardship curricula; to facilitate the annotation, discovery and evaluation of FAIR-enabling materials (e.g. training) and resources; and to enable the formalisation of job descriptions and CVs with recognised, structured competencies.
Created by https://github.com/terms4fairskills
This course explains why data standards are so essential in modern health research and the advantages of adopting them to produce high-quality, trusted data products. The course will teach you how to understand and apply different kinds of data standards during the phases of collection, processing, storage, and sharing your research data. The pathway brings in the principles of open research, including practical advice on selecting the appropriate file format to ensure the reusability of your data, increasing its research impact and the potential for collaboration.
Created by HDR UK and the University of Sheffield
The DDI Alliance is dedicated to developing international metadata standards for describing in the social, demographic, economic, and health sciences. Their standards facilitate data discovery, management, and interoperability among researchers and institutions. The website offers resources, documentation, and community support for implementing DDI standards.
Created by DDI Alliance
The Data Curation Network provides 'data primers' to assist researchers in understanding and curating various data types. These primers offer discipline-specific guidance to ensure data is well-prepared for sharing and reuse. The GitHub repository hosts these resources, facilitating community contributions and updates.
Created by Data Curation Network
This GitHub repository offers a curriculum developed by the Data Curation Network to train individuals in data curation practices. It includes modules on various aspects of data curation, aiming to standardise and enhance the quality of data management across disciplines.
Created by Data Curation Network
The Data Curation Network offers archived primers from the 2018-2020 Specialized Data Curation Workshops presented by the Data Curation Network and funded by a grant from the Institute for Museum and Library Services. Data curation primers are interactive, living documents that detail a specific subject, disciplinary area or curation task and that can be used as a reference to curate research data.
Created by Data Curation Network University of Minnesota
This blog post from Dryad emphasises the importance of creating comprehensive README files to accompany data publications. It provides authors with guidelines and best practices to enhance data usability and reproducibility. The article serves as a practical resource for researchers preparing their data for sharing.
Created by Dryad
The CESSDA Data Management Expert Guide (DMEG) is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable, and Reusable (FAIR). This is the offline version of the DMEG developed in 2017 and updated in 2019, available as a training resource on the CESSDA Training website. The guide is written for social science researchers who are in an early stage of practicing research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.
Created by CESSDA Training Team
The NFDI4Chem knowledge base provides information and recommendations to digitalise all key steps of chemical research to support scientists in their efforts to collect, store, process, analyse, publish, and reuse research data. This knowledge base is inspired by RDMkit but has been tailored specifically towards Chemists as end-users.
Created by NFDI4Chem knowledge base
The Handbook provides an internationally authoritative and practical guide to the subject of managing digital resources over time and the issues in sustaining access to them. It will be of interest to all those involved in the creation and management of digital materials. The "Standards and Best Practice" section of the Digital Preservation Handbook focuses on using relevant standards in the digital institutional environment to ensure organisational compliance and facilitates interoperability across diverse systems. It also enables organisations to undergo audits and obtain certifications, validating their adherence to industry best practices for digital preservation.
Created by Digital Preservation Coalition
This toolkit offers valuable resources on managing life sciences data, focusing on the importance of data sharing, preservation, and FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It provides practical advice for researchers and institutions in managing data throughout its lifecycle, from collection to publication. Aimed at advancing research transparency, the toolkit also connects users to various tools and training to enhance data management practices.
Created by ELIXIR Research Data Management Kit (RDMkit)
The University of Groningen’s page discusses the responsible use of social media data in research. It covers both ethical considerations and practical issues like data privacy and user consent.
Created by the University of Groningen
terms4FAIRskills describes the competencies, skills and knowledge associated with making and keeping data FAIR.\nThis terminology applies to a variety of use cases, including: assisting with the creation and assessment of stewardship curricula; facilitating the annotation, discovery and evaluation of FAIR-enabling materials \(e.g. training\) and resources; enabling the formalisation of job descriptions and CVs with recognised, structured competencies.\nIt is intended to be of use to trainers who teach FAIR data skills, researchers who wish to identify skill gaps in their teams and managers who need to recruit individuals to relevant roles.
Created by terms4FAIRskills (T4FS)
The goal of the CODATA Research Data Management Terminology is to gather the key terms needed for a common understanding of the research data management domain. The RDMT was revised by the CODATA RDM Terminology Working Group, shared for public review, and then confirmed and finalised in 2023.
Created by CODATA
CESSDA (Consortium of European Social Science Data Archives) is a European research infrastructure that provides access to social science data across member countries. It supports researchers by offering data archiving, management, and training resources to facilitate high-quality, cross-border research. The organisation aims to promote open science and ensure the long-term availability of social science datasets.
Created by CESSDA
The Ethical Data Initiative promotes ethical data practices in education. Their campaign focuses on raising awareness and providing guidelines to ensure data ethics are upheld in educational settings. The website offers resources, case studies, and tools to support ethical data management in education.
Created by the Ethical Data Initiative
This guidebook aims to give an overview of the challenges associated with making qualitative data reusable as well as providing guidance on how reusability can be improved and addressed at all stages of the research data life cycle.
Created as part of the CaRe & DaRe project DANS (Data Archiving and Networked Services)
The University of Groningen’s page discusses the responsible use of social media data in research. It covers both ethical considerations and practical issues like data privacy and user consent.
Created by the University of Groningen
Textwash is an automated text anonymisation tool written in Python. The tool can be used to anonymise unstructured text data. To achieve this, Textwash identifies and extracts personally-identifiable information (e.g., names, dates) from text and replaces the identified entities with a generic identifier. More info in this preprint: https://arxiv.org/abs/2208.13081
Created by Maximilian Mozes, Bennett Kleinberg, Juha Nurmi, Toby Davies
The Digital Repository of Ireland (DRI) published an anonymisation protocol for archiving reproductive health data. This protocol ensures that sensitive information is protected while maintaining data utility for research purposes. The website provides access to the protocol and related resources (the anonymisation protocol and the vocabulary report).
Created by Digital Repository of Ireland
The article explores the importance of protecting personal data in an era where vast amounts of information are collected daily. It discusses techniques to break the link between data values and individuals, highlighting the challenges posed by advancements in data analysis and artificial intelligence that can potentially re-identify anonymized data.
Published by EDUCAUSE Review
The University of Sheffield Library information on the basics of UK copyright law, exceptions and fair dealing, licences, research, and publishing.
Created by The University of Sheffield Library
Speaker: Andrew Johnson, Scholarly Communications Librarian (Copyright and Licensing). Summary: Creative Commons celebrated 20 years of issuing licences in 2022. This webinar will look at a brief history of the Commons and licences before looking in more detail at the licence terms and how these combine and work within existing copyright law. We will also look at what the licences do and do not allow, and see how they support the broader open access movement.
Created by The University of Sheffield
Protection of a dataset is contextual in every case – the data, database and other context may dictate higher or lower risk for data scraping and data mining. Even where an exception permits use in one context (for example, a copyright exception for text and data mining), other types of protection must be considered. On this website you will find information and guide to the rights implicated in mining or scraping protected databases
Created by CopyrightUser
TUoS Bitesize video on Creative Commons licences: https://doi.org/10.15131/shef.data.23309693.v2
The CODATA-RDA Legal Interoperability Interest Group has studied the issues related to the intellectual property of data: the resulting outcome is a set of principles and practical implementation guidelines. They are offered as high-level guidance to all members of the research community - the funders, managers of data centers, librarians, archivists, publishers, policymakers, university administrators, individual researchers, and their legal counsel - who are engaged in activities that involve the access to and reuse of research data from diverse sources. The Principles are synergistic, so their greatest benefit is realised when they are considered together.
Created by RDA-CODATA Legal Interoperability Interest Group
The ELIXIR RDMkit's "Data Steward" page serves as a comprehensive guide for professionals involved in research data management within the life sciences. It outlines the diverse roles and responsibilities of data stewards, ranging from policy advising to technical support, and provides resources to assist them in ensuring that research data is managed effectively throughout its lifecycle. The page also offers links to tools and training materials that support the implementation of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.
Created by ELIXIR
This joint briefing paper with Knowledge Exchange informs the discussion on the funding of Research Data Management (RDM) and related infrastructures in Europe, helps raise awareness of the current challenges, and communicates opportunities for co-ordinated action to relevant stakeholders. The paper highlights that the funding of Research Data Infrastructures, enabling RDM, comes from a great variety of sources and institutions that have different responsibilities and that operate at local, national, and international level
Created by Science Europe
The document is a preliminary report by the Research Data Alliance's Professionalising Data Stewardship Interest Group (RDA PDS IG). It presents findings from a 2022 survey aimed at understanding the roles, backgrounds, and career trajectories of individuals engaged in data stewardship or similar research data management (RDM) roles.
Created by Research Data Alliance
This resource examines the challenges digital technologies pose for research data, including integrity, accessibility, and long-term stewardship. It highlights the need for better data management training, open access to research data, and updated standards to keep pace with innovation. The book serves as a guide for researchers, institutions, and stakeholders to navigate the evolving landscape of research data management.
Book by National Academies
This is a Github repository that provides job descriptions and role profiles for data stewards, outlining the skills required to manage data effectively in research contexts. The descriptions cater to two different types of data stewards (coordinator and embedded data stewards), focusing on key activities like data organisation, quality control, and compliance.
Created by The Skills4EOSC MVS Team
This blog post from the UK’s Office for Statistics Regulation discusses the importance of breaking down barriers in data sharing and linkage for public benefit. It highlights challenges and solutions related to privacy, consent, and ethical considerations in linking public and private datasets.
Created by Office for Statistics Regulation
This initiative aims to establish a robust framework for developing essential data analysis skills for the social, economic and population sciences, focusing on large-scale survey, census, and macro-level aggregate data characteristic of the UK Data Service (UKDS) holdings. The framework acknowledges a rapidly advancing data skills landscape. It emphasises continued development of traditional data skills for contemporary research needs, while recognising growing potential for integrating survey or census data with an expanding array of other sources increasingly accessible to social scientists, as well as promising opportunities presented by AI and machine learning for enhancing analysis.
Created by the UK Data Service Training and User Support Directorate
Data Donation is a platform that facilitates the collection of social media data through voluntary contributions. Participants can donate their data in a structured format to support research studies, while ensuring that ethical standards and privacy concerns are met.
Created by Datadonation.eu
The European Commission has released guidelines to ensure the responsible use of generative AI in research. These recommendations cover ethical, legal, and practical considerations for researchers engaging with AI technologies.
Created by European Commission and European Research Area
Its purpose is to provide a common access point to data resources within the Physical Sciences to all staff, students and other members of UK academic institutions. The online platform currently provides access to a number of state-of-the-art chemistry databases and tools for the benefit of the research community. However, the service is planning to extend its coverage into wider areas of physical sciences. Created by Physical Sciences Data-science Service (PSDS). PSDS is an EPSRC-funded National Research Facility provided by the University of Southampton, and Science and Technology Facilities Council.
Created by PSDS
PSDI aims to accelerate research in the physical sciences by providing a data infrastructure that brings together and builds upon the various data systems researchers currently use.
Created by PSDS
The University of Bath guide. It has been designed to help you to find third-party open access research datasets that researchers might want to reuse for their own research.
Created by the University of Bath
This page provides resources related to the Open Science Community (OSC) in Sheffield. The community aims at helping people answer queries they have on open science practices among researchers and other professionals. The website serves as a hub for open science initiatives, events, and collaborations in Sheffield.
Created by OSCS, University of Sheffield and Sheffield Hallam University
Sonraí Irish Data Stewardship Network is dedicated to fostering a community of data stewards to support Ireland’s transition to a FAIR and open research data landscape. Funded through the 2022 Open Research Fund, Sonraí works to enhance data stewardship skills, promote recognition of the role, and drive the professionalisation of data management across the national research ecosystem. Through collaboration and knowledge-sharing, Sonraí ensures the long-term curation, preservation, and accessibility of Ireland’s research data assets.
Created by Sonraí
Research Data Netherlands (RDNL) - network's website
Research Data Netherlands (RDNL) is a national coalition of data service providers and expertise networks whose mission is to promote implementation and long-term sustainability of FAIR research data in the Netherlands. The coalition was founded in 2013 by 4TU.ResearchData and Data Archiving and Networked Services (DANS). The coalition was joined by SURF in September 2014 and by Dutch Techcentre for Life Sciences (DTL), now Health-RI in February 2022.
Created by RDNL
RDA Working Group Data Steward Career Tracks - Working Group
The Data Steward Career Tracks WG aims to develop a methodology for creating data steward personas as well as sample set of data steward personas that are linked into a sample career track.
Created by RDA
Professionalising Data Stewardship IG - Interest Group
The Professionalising Data Stewardship Interest Group focuses on developing and promoting the professionalisation of data stewardship practices across various research and data management sectors. Data stewardship involves the management, preservation, and sharing of data, ensuring its accessibility, usability, and security.
Created by RDA Interest Group
Earth, Space and Environmental Sciences Data Community of Practice (RDA) - Interest Group
The Earth, Space and Environmental science (ESES) community is focused on improving data and software management and sharing practices that result in our researchers having access to community informatics resources that support their research.
Created by RDA Interest Group