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The fair principles: Trusting in fair data repositories
Andy Götz, ESRF data manager and PaNOSC coordinator, discusses the impact of applying the FAIR principles to research data. In the previous article in this series on FAIR data, we explained how the scientific world is undergoing a major change with the widespread adoption of the so-called FAIR principles for research data. FAIR stands for Findable, Accessible, Interoperable and Reusable and was first published in a paper in Nature in 2016.(1) The FAIR principles were proposed to ensure research data are made available to the scientific community so that they can be found, downloaded, understood, and reused. The goal is to make data used in scientific publications available to the community so they can verify the results, reproduce them, and eventually derive new results from them. Applying the FAIR principles systematically for research data will address the reproducibility - also known as the replicability - crisis (2) in science and make scientific data available for verifying results and used beyond their original purpose.

With the increasingly evident and widespread impact of economic activity on the environment, there is a growing concern in all parts of the world for environmental considerations to be more fully reflected in economic decision-making. The Polluter-Pays, User-Pays and Precautionary principles are increasingly being used as guidelines for environmental policy, and yet their developmental implications have barely been explored. Fair Principles for Sustainable Development is one of the first books to study the developmental implications of these basic tenets of environmental policy. Having assessed the merits, drawbacks and technical feasibility for developing countries of applying the Polluter-Pays and User-Pays principles, the contributors then examine the Precautionary principle from the same perspective. This is followed by discussion of Subsidiarity, which offers guidance on the application of these principles and aims to ensure that local interests are articulated and incorporated in the decision-making process. Finally an overview by the editor draws the material together to support the application of these principles, particularly in international trade and global environmental agreements, to serve the sustainable development in the Third World. As an important early contribution to the debate on the application of Polluter-Pays, User-Pays and Precautionary principles in development policy, as well as one of the first books to discuss the application of the subsidiarity principle to environmental policy, Fair Principles for Sustainable Development will be welcomed by researchers, students and policymakers attempting to come to terms with a new, important, but little understood, area

Course 4DH430: "Information Ethics, Politics and Policies in the Digital World", Linnaeus University, Summer semester 2021 Module "Legally Open": European legislation on data, science, and intellectual property and the politics behind it Session 1: Open Science, the FAIR principles, and European research data legislation

This article considers the role of principles in perceptions of what constitutes acceptable rhetoric in election campaigns. Previous research suggests that citizens use principles of what is an acceptable attack in campaigns when evaluating charges and countercharges, while acknowledging that under some circumstances citizens accept rhetoric that would seem to breach their principles. This research has not adequately considered how partisanship can affect a respondent's proclivity to call upon principles in assessing campaign rhetoric. This article draws on three original surveys to test competing models of the role of partisanship and finds robust results in support of a strong partisan bias. It concludes that it is not that citizens are resilient to violations of their principles, but that nearly the opposite is the case: citizens' sensitivity to attacks on their preferred candidate leads them to take a very partial view of when to apply their principles faithfully to a judgment and when not to.

This article considers the role of principles in perceptions of what constitutes acceptable rhetoric in election campaigns. Previous research suggests that citizens use principles of what is an acceptable attack in campaigns when evaluating charges and countercharges, while acknowledging that under some circumstances citizens accept rhetoric that would seem to breach their principles. This research has not adequately considered how partisanship can affect a respondent's proclivity to call upon principles in assessing campaign rhetoric. This article draws on three original surveys to test competing models of the role of partisanship and finds robust results in support of a strong partisan bias. It concludes that it is not that citizens are resilient to violations of their principles, but that nearly the opposite is the case: citizens' sensitivity to attacks on their preferred candidate leads them to take a very partial view of when to apply their principles faithfully to a judgment and when not to. Adapted from the source document.

Course 4DH430: "Information Ethics, Politics and Policies in the Digital World", Linnaeus University, Summer semester 2021 Module "Legally Open": European legislation on data, science, and intellectual property and the politics behind it Session 1: Open Science, the FAIR principles, and European research data legislation

The FAIR principles formulate guidelines for the sustainable reusability of research data. FAIR stands for Findability, Accessibility, Interoperability, and Reusability of data and metadata. While there is a growing body of general implementation guidelines, so far there is a lack of specific recommendations on how to apply the FAIR principles to the specific needs of social, behavioural and economic science data. These disciplines work with highly diverse data types that often contain confidential information on individuals, companies, or institutions. These features pose some challenges to the useful implementation of the FAIR principles - especially regarding the machine-actionability of data and metadata that is at the core of the FAIR principles. This White Paper defines the FAIR principles for the social, behavioural and economic sciences. For each of the 15 FAIR (sub)principles, the paper proposes minimum requirements and provides a vision for a full-implementation of the FAIR principles by repositories and data centres. The paper was authored by members of the Economic and Social Sciences goINg FAIR Implementation Network (EcoSoc-IN) and addresses research data centres and other stakeholders who strive for a FAIR research data infrastructure in the disciplines of KonsortSWD.

The humanities today use digital tools for their research projects. This training is an opportunity to review research data and FAIR principles in humanities projects. In this session, we provide an introduction to the research data life cycle, and then discuss how the digital humanities produce and must manage research data. We show what it means to create FAIR data, even before a project begins. We also see the management differences between the physical objects, their various digital forms and metadata, as well as the research data produced during the project. Finally, we finish with a review of tools and good practices, before showing examples, such as data reuse and the use of the CIDOC CRM ontology. ; Co-funded by the Erasmus+ Programme of the European Union