FAIRsharing and Engineering Research Data Management
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A 7 minute presentation that formed the basis of a YouTube video presented at the RDA P12 in Gaborone, Botswana in November 2018.
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FAIRsharing and Engineering Research Data Management
- 1. Peter McQuilton On behalf of the RDA WG co-chairs FAIRsharing Project Coordinator Oxford e-Research Centre, Dept. Engineering Science, University of Oxford, UK RDA P12, Botswana, November 2018
- 2. 1. A registry of manually curated and interlinked records on o standards (for identifying, reporting, and citing data and metadata), o databases (repositories and knowledge-bases) and o data policies (from journals, publishers, funders and other organizations) 2. Related recommendations o Guide users and producers of standards and databases to select and describe these resources, or to recommend them in data policies Working Group outputs: DOI: 10.15497/RDA00030
- 3. Our mission is to increase: • guidance to consumers of standards, databases, repositories, and data policies, to accelerate the discovery, selection and use of these resources; and • producer satisfaction in terms of resource visibility, reuse, adoption and citation
- 4. A web-based, curated, and searchable portal that monitors the development and evolution of standards, across all disciplines, inter-related to databases/repositories and data policies
- 5. Interlinking the landscape of standards, databases, repositories and data policies Data policies by funders, journals and other organizations Databases and data repositories Community standards, focusing on metadata and identifier schemas Formats Terminologies Guidelines Identifiers ID
- 6. FAIRsharing and Engineering Research Data Management Coverage of Engineering subject areas Coverage of the Engineering Sciences is growing
- 7. FAIRsharing and Engineering Research Data Management How you can help us: • Tell us what’s missing • add your resource (standard, database, repository) • Help make a FAIRsharing collection for Engineering RDM, grouping together all relevant resources for the Engineering Sciences How we can help you: • Use FAIRsharing to create your data management plan; identify the most appropriate standards, databases and data policies for your work • Formally cite these resources using their record DOI and the ‘how to cite this record’ statements provided.
- 8. 2400 records and counting… >40 metadata fields per record…
- 9. Domain Resource Application Ontology Subject Resource Application Ontology Maximizing findability and retrieval Standards, policies and databases are classified via our two in-house open application ontologies that improve the findability of each resource
- 10. FAIRsharing enables the FAIR Principles Ensures that standards, databases, repositories, policies are: • Findable, e.g., by providing DOIs and marking up records in schema.org, functionality to register, claim, maintain, interlink, classify, search and discover them • Accessible, e.g., identifying their level of openness and/or licence type • Interoperable, e.g., highlighting which repositories implement the same standards to structure and exchange data • Reusable, e.g., knowing the coverage of a standard and its level of endorsement by a number of repositories should encourage its use or extension in neighbouring domains, rather than reinvention Work to assess the FAIRness of these digital resources working with the GO-FAIR FAIRmetrics.org WG
- 11. accepted by FAIRsharing is central to an international ecosystem of FAIR-enabling resources Pre-print at https://doi.org/10.1101/245183 Authored by 68 authors, representing the FAIRsharing community of core adopters, advisory board members, and key collaborator, who are stakeholders from academia, industry, funding agencies, standards organizations, infrastructure providers and scholarly publishers RDA FAIRsharing WG: https://rd-alliance.org/group/fairsharing-registry-connecting-data-policies-standards-databases.html Contact the FAIRsharing Team: contact@fairsharing.org @fairsharing_org
Notas do Editor
- Hello everyone, please accept my apologies that I can’t be there in person but hopefully this video will give you a flavour of our work. My name is Peter McQuilton and I’m delighted to be able to present FAIRsharing.org, which is one of the outputs of our joint RDA, Force11 FAIRsharing WG, on behalf of myself, my co-chairs Simon Hodson, Rebecca Lawrence and Susanna-Assunta Sansone, and the FAIRsharing community.
- Our Working Group has now completed its 18 month lifespan and we have two main outputs. The first is the FAIRsharing registry itself, built on the existing BioSharing registry. FAIRsharing is a manually curated registry of interlinked standards, databases and data policies, covering the natural sciences, Engineering Sciences, and the Humanities and Social Sciences. The second output is a set of recommendations or guidelines for the creators and users of standards, databases and data policies, that guide the selection, description and linking of these resources to help them be more Findable, Accessible, Interoperable and Re-usuable, or FAIR.
- The FAIRsharing registry and WG has the following mission:
- OK, so the first output, the FAIRsharing registry. Here is the homepage. This is what you see if you type fairsharing.org into your browser. I’m not going to go through the homepage, but, suffice to say there are a number of ways to access the data, or to find out more about how FAIRsharing works and the guidelines for linking and describing these resources. In the centre of the homepage there is a dark blue search bar, containing three search options. The first is a general search tool that searches across the 40+ fields of every record for the text string. The second is an advanced, field-by-field search, that allows targeting searching using autocomplete and some of our in house vocabularies. The third is our step-by-step wizard, which is useful if you aren’t quite sure what you’re looking for and want to have your hand held as you explore our data. I’d like to draw your attention to the numbers at the bottom of the page, which show the magnitude of the data we have in FAIRsharing, and some of the subtypes and ontology terms that we use to split the data.
- To increase the findability of resources in the FAIRsharing registry, we have created two application ontologies, integrating many terms from existing ontologies and vocabularies, alongside user-contributed terms. These two ontologies, one covering subjects or disciplines, the other covering domains, are used to annotate every single record in FAIRsharing and provide an accurate way to categorise and search resources. Both ontologies are open to the community for comments, improvements and re-use.
- The FAIRsharing WG outputs enable the FAIR principles. Through the registry and recommendation we ensure that Standards, Databases (split into repositories and knowledgebases) and data policies are… The FAIRsharing registry is connected to the GO-FAIR FAIRmetrics WG, where we will use the metadata from FAIRsharing to inform FAIR assessments for each resource.
- To close then, the FAIRsharing registry, an output of our joint RDA/Force11 working group, is centrally placed in an international ecosystem of FAIR-enabling resources. The portal and data model continue to be developed, and our content continues to grow, particularly outside of the life sciences. This work, along with the associated guidelines, are presented in our RDA recommendation. Finally, thank-you for listening, and don’t forget to add or claim your resource in FAIRsharing and join our growing community. Thank-you.