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The lessons we have picked-up from the adoption process is that there is real value in adopting as early as possible the application profile. This helps to identify missing features and to give feedback on the use-case which may or […]

Following a successful application to the RDA Europe 4.0 open call for Adoption Grants,  the Faculty of Mathematics and Informatics (FMI) at Sofia University St. Kliment Ohridski started working on unifying the knowledge concerned with the study of wheat and the factors affecting […]

Version: June 2023 1. Introduction This Artificial Intelligence (AI) tool usage Guidance provides guidelines and best practices for the use of AI tools during Research Data Alliance (RDA) activities, including meetings and events. AI tools are becoming more frequently used in conjunction with […]

Status: Recognised & Endorsed What is the Problem? Computer actionable policies are used to enforce management, automate administrative tasks, validate assessment criteria, and automate scientific analyses. The benefits of using policies include minimization of the amount of labor needed to manage a collection, the ability to publish to the users the rules that are being…

Interest Group approach Provision of data infrastructures requires collaboration and federation of multiple organisations and bodies to realise the vision of high-value joint data infrastructures presented by the RDA and others. For data infrastructures to be relied upon by end users, in addition to policy- and technical-level alignment, there must be a shared basis for…

Objectives The Metadata Standards Catalog (MSC) Working Group has produced a machine-actionable catalog of metadata standards submitted by all RDA WGs. The catalog system has an end-user input form and an API for submission from other software. Similarly it has a user interface for query/reporting and an API for software to query and retrieve suitable…

This working group is involved in creating well-defined terms that describe storage services, especially in the areas of Quality of Service and Data Life-cycle. These terms should describe what the users (the scientists) can expect from the storage service, allowing them to compare different storage options and choose where to store their data with some…

RDA Interest Group Charter Name of Interest Group: Data Discovery Paradigms IG Introduction: The F.A.I.R. Principles, i.e. that data should be “Findable, Accessible, Interpretable and Reusable”, have become a key theme of Open Science. To comply with the first of these criteria, being Findable, we need a data infrastructure that supports users in discovering research…

Webinar - Tools & Resources for Data Usage Metrics - 21 April 2022 Research data is increasingly recognized as an important output of scholarly research, however, there are not yet standardized or comprehensive research data metrics as there are with articles. While data citations standards are being constructed and gaining user adoption, there are not…

Welcome to the RDA Data Granularity Working Group Purpose The efficient and effective reuse of data requires that users, be they humans or machines, be able to find and access data at fine levels of granularity. The WG will explore key questions and collect and share valuable information for how to best support data granularity,…