Accelerating Machine-to-Machine Interoperability of Geoscience Data through using FAIR Implementation Profiles (FIPs) and FAIR Enabling Resources (FERs) to Declare Semantic Resources Implemented in any Dataset.
Creators: name: Wyborn, Lesley
name: Croucher, Jo
name: Prent, Alexander
name: Rees, Nigel
name: Farrington, Rebecca
Publisher: name: ARDC
Year: 2023
Subjects: Vocabularies
Terminologies
Semantic

description: The Findable, Accessible, Interoperable, Reusable (FAIR) principles of Wilkinson et al. (2016) were designed to improve reuse of scholarly data by emphasising the ability of machines to find, access, aggregate and reuse data. Although many data producers strive to make their datasets FAIR, most datasets only meet the findable and accessible principles: few are fully machine-interoperable as there is insufficient specificity and granularity regarding implementation of standards, formats, and in particular, vocabularies.In 2020, to accelerate FAIR convergence, FAIR Implementation Profiles (FIPs) were introduced to declare the implementation choices made by a community of practice for each FAIR principle pertaining to a dataset (Shultes et al. 2020). The effectiveness of any FIP relies on machine actionable descriptions of all individual resources being used to describe a dataset, which in turn requires the publication of each individual FAIR-Enabling Resource (FER) for each principle.The second Interoperable Principle (I2) requires "(meta)data use vocabularies that follow FAIR principles"(Wilkinson et al. 2016). However, few vocabularies meet this requirement: many are published as static PDFs. Even where each term in a vocabulary is published with a PID in a version-controlled vocabulary service, the vocabulary itself (and even the service) may not be identified with a resolvable PID and it can be hard to access the superseded versions. To provide a machine actionable reference, each vocabulary needs to be uniquely identified with a PID that is version controlled and time-stamped, so that the precise vocabularies used to describe any published dataset can be referenced and accessed over time. For large and complex vocabularies, this may necessitate the publication of custom time-stamped implementation profiles of the source vocabulary.Using examples from geophysics and geochemistry, this presentation will show how FIPs, combined with FERs, can accelerate semantic interoperability of datasets acquired by different communities/repositories and at scale.AcknowledgementsWork presented here was developed as part of the:1. WorldFAIR: Global Cooperation on FAIR Data Policy and Practice Project which has received co-funding from the European Commission's WIDERA coordination andsupport programme under the Grant Agreement no. 101058393. (https://worldfair-project.eu/ ); and2. Building a National High-resolution Geophysics Reference Collection for 2030 Computation Project (https://ardc.edu.au/project/2030-geophysics-collections/) which was co-funded by AuScope, National Computational Infrastructure (NCI), Terrestrial Ecosystem Research Network (TERN) and the Australian Research Data Commons(ARDC) https://doi.org/10.47486/XN002 as part of the Australian National Collaborative Research Infrastructure Strategy (NCRIS) program.References1. Schultes E, Magagna B, Hettne KM, Pergl R, Suchánek M, & Kuhn T (2020). Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence. In: GrossmannG & Ram S (eds) Advances in Conceptual Modeling. ER 2020. Lecture Notes in Computer Science, vol 12584. Springer, Cham. https://doi.org/10.1007/978-3-030- 65847-2_132. Wilkinson MD, Dumontier M, Packer AL, Gray AJG, Mons A, Gonzalez-Beltran A, Waagmeester A, Baak A, Brookes AJ, Evelo CT, Mons B, Persson B, Goble C, Schultes E, van Mulligen E, Aalbersberg IjJ, Appleton G, Boiten J-W, Dillo I, Grethe JS, Heringa J, Strawn G, Velterop J, Bouwman J, van der Lei J, Kok J, Zhao J,Wolstencroft K, da Santos LB, Roos M, Thompson M, Martone ME, Crosas M, Swertz MA, Axton M, Blomberg N, Dumon O, Groth P, 't Hoen PAC, Wittenburg P, Bourne PE, Rocca-Serra P, van Schaik R, Finkers R, Hooft R, Kok R, Edmunds S, Lusher SJ, Sansone S-A, Slater T, Sengstag T, Clark T & Kuhn T (2016). The FAIR GuidingPrinciples for scientific data management and stewardship. Scientific Data, 3: 160018. DOI: https:// doi.org/10.1038/sdata.2016.18