Data Description

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16
Jan
2020

Principles and best practices in data versioning for all data sets big and small

By Mingfang Wu

The demand for better reproducibility of research results is growing. More and more data is becoming available online. In some cases, the datasets have become so large that downloading the data is no longer feasible. Data can also be offered through web services and accessed on demand.

16
Jan
2020

Compilation of Data Versioning Use cases from the RDA Data Versioning Working Group

By Mingfang Wu

Data versioning is a fundamental element to ensuring the reproducibility of research. Work in other RDA groups on data provenance and data citation, as well as the W3C Dataset Exchange Working Group, have highlighted that definitions of data versioning concepts and recommended practices are still missing.

11
Oct
2018

The FAIRsharing Registry and Recommendations: Interlinking Standards, Databases and Data Policies

By Hilary Hanahoe

This document describes the outputs of a joint RDA-Force11 FAIRsharing WG: the FAIRsharing resource of interlinked records on standards (for identifying, reporting, citing data and metadata), databases (repositories and knowledge-bases) and data policies (from journals, publishers, funders and other organizations), ranging from the generic and multi-disciplinary, to those from specific domains. The FAIRsharing recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. These outputs are tightly bound together as the registry enacts the recommendations, through the provision of well-described and interlinked records, which are curated and maintained with the support and input of the producers of these resources.

30
Aug
2018

RDA/TDWG Attribution Metadata Working Group: Final Recommendations

By Anne Thessen

Research collections are an important tool for understanding the Earth, its systems, and human interaction. Despite the importance of collections, many are not maintained or curated as thoroughly as they should. Part of the reason for this is the lack of professional reward for curation, maintenance, or collection. To address this gap in attribution metadata, this Working Group recommends the use of PROV entities and properties to link people (Agent), the curatorial actions they perform (Activity), and the digital or physical objects they are curating (Entity). Assigning a Role to an Agent is optional. These recommendations are discussed in the context of the RDA and existing standards. A separate technical document gives specific examples of three use cases as RDF Turtle representations and diagrams.

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