FAIR Data article collection launched on Springer Nature Scientific Data

FAIR Data article collection launched on Springer Nature Scientific Data

A new rolling collection of articles on FAIR data, hosted on Springer Nature’s Scientific Data, has been organized by Patricia Cruse (DataCite, Germany), Michael Huerta (NLM), Mark Thorley (STFC Rutherford Appleton Laboratory) and the Centre’s Professor Susanna-Assunta Sansone.

The collection presents a series of open data resources and tools, both new and long-standing, and provides an outlet for the developers and maintainers of these resources to emphasize the approach they take to ensure the data they host and serve are increasingly FAIR (Findable, Accessible, Interoperable and Reusable).

The accompanying Scientific Data Comment piece, High-quality science requires high-quality open data infrastructure, reflects that resources for data management, discovery and (re)use are numerous and diverse, and more data resources that enable the FAIR principles are needed.

As infrastructures that support the research cycle (from data collection, processing, analysis, presentation, publication, preservation and reuse), the ultimate goal of these resources is to contribute to the process that turns data into knowledge and knowledge into solutions for society’s most pressing challenges. A successful data resource is therefore one that works with and for the relevant research community it serves, by meeting current research needs, as well as providing new opportunities for future research.

The first articles are now available, with more to be added in the coming weeks. The initial four articles encompass repositories, tools and services for managing data, presented as digital research assets in their own right, with their own associate research and development life cycle, from design, to development and maintenance.

The organisers hope that the exemplars presented in this rolling collection will contribute to the growing ecosystem of resources working to increase the FAIRness of data. Data resources published in this live collection are also described in and citable by their Digital Object Identifier (DOI) assigned by FAIRsharing (for example see https://doi.org/10.25504/FAIRsharing.bpkzqp - NIH ImmPort Immunology Database and Analysis Portal).