Have a personal or library account? Click to login
Advancing FAIR Agricultural Data: The AgReFed FAIR Assessment Tool Cover

Advancing FAIR Agricultural Data: The AgReFed FAIR Assessment Tool

Open Access
|Apr 2024

References

  1. Agricultural Research Federation. 2023. About us. Available at https://www.agrefed.org.au/WhoAreWe [Last accessed 5th February 2023].
  2. Amdouni, E and Jonquet, C. 2022. FAIR or FAIRer? An integrated quantitative FAIRness assessment grid for semantic resources and ontologies. Metadata and Semantic Research. DOI: 10.1007/978-3-030-98876-0_6
  3. Arnaud, E, et al. 2020. The ontologies community of practice: A CGIAR initiative for big data in agrifood systems. Patterns, 1(7): 100105. DOI: 10.1016/j.patter.2020.100105
  4. Austrailian Research Data Commons. 2022. A national agenda for research software, 28 March 2022. DOI: 10.5281/zenodo.6378082
  5. Bahim, C, Dekkers, M and Wyns, B. 2019. Results of an analysis of existing FAIR assessment tools. Research Data Alliance. DOI: 10.15497/RDA00035
  6. Bahlo, C, et al. 2019. The role of interoperable data standards in precision livestock farming in extensive livestock systems: A review. Computers and Electronics in Agriculture, 156: 459466. DOI: 10.1016/j.compag.2018.12.007
  7. Bahlo, C and Dahlhaus, P. 2021. Livestock data – Is it there and is it FAIR? A systematic review of livestock farming datasets in Australia. Computers and Electronics in Agriculture, 188. DOI: 10.1016/j.compag.2021.106365
  8. Betancort Cabrera, N, et al. 2020. White paper on implementing the FAIR principles for data in the social, behavioural, and economic sciences. Berlin, Germany: RatSWD. DOI: 10.17620/02671.60
  9. Bonello, J, Cachia, E and Alfino, N. 2022. AutoFAIR-A portal for automating FAIR assessments for bioinformatics resources. Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms, 1865(1): 194767. DOI: 10.1016/j.bbagrm.2021.194767
  10. Box, P, et al 2020. White paper for the enactment phase of the Agricultural Research Federation (AgReFed). DOI: 10.5281/zenodo.3707057
  11. Caracciolo, C, et al. 2020. 39 hints to facilitate the use of semantics for data on agriculture and nutrition. Data Science Journal, 19(47): 112. DOI: 10.5334/dsj-2320-047
  12. Data sharing and the future of science. 2018. Nature Communications, 9(1): 2817. DOI: 10.1038/s41467-018-05227-z
  13. Devaraju, A, et al. 2021. From conceptualization to implementation: FAIR assessment of research data objects. Data Science Journal, 20(4): 114. DOI: 10.5334/dsj-2321-004
  14. Devaraju, A and Huber, R. 2021. An automated solution for measuring the progress toward FAIR research data. Patterns, 2(11): 100370. DOI: 10.1016/j.patter.2021.100370
  15. Devare, M, et al. 2021. AgroFIMS: A tool to enable digital collection of standards-compliant FAIR data. Frontiers in Sustainable Food Systems, 5. DOI: 10.3389/fsufs.2021.726646
  16. Gehlen, K, et al. 2022. Recommendations for discipline-specific FAIRness evaluation derived from applying an ensemble of evaluation tools. Data Science Journal, 21(1). DOI: 10.5334/dsj-2322-007
  17. Genova, F, et al. 2021. Recommendations on FAIR metrics for EOSC. Lexembourg: Publications Office of the European Union. DOI: 10.2777/70791
  18. Gruenpeter, M. 2021. Software as a first class output in a FAIR ecosystem. In: Workshop on Sustainable Software Sustainability 2021. (WOSSS21), 6–8 October 2021. DOI: 10.5281/zenodo.5563028
  19. Hasselbring, W, et al. 2020. From FAIR research data toward FAIR and open research software. It — Information Technology, 62: 3947. DOI: 10.1515/itit-2019-0040
  20. Jacobsen, A, et al. 2020. FAIR principles: Interpretations and implementation considerations. Data Intelligence, 2: 1029. DOI: 10.1162/dint_r_00024
  21. Katz, DS, Gruenpeter, M, Honeyman, T, Katz, DS, Gruenpeter, M and Honeyman, T. 2021. Taking a fresh look at FAIR for research software. Patterns, 2: 100222. DOI: 10.1016/j.patter.2021.100222
  22. Koers, H, et al. 2020. Assessment report on ‘FAIRness of services’. Zenodo. DOI: 10.5281/zenodo.3688762
  23. Krans, NA, et al. 2022. FAIR assessment tools: evaluating use and performance. NanoImpact, 27: 100402. DOI: 10.1016/j.impact.2022.100402
  24. Lamprecht, AL, et al. 2020. Towards FAIR principles for research software. Data Science, 3: 3759. DOI: 10.3233/DS-190026
  25. MacLeod, A, et al. 2020. The Agricultural Research Federation (AgReFed) technical and information policy suite. DOI: 10.5281/zenodo.3993784
  26. Misra, NN, et al. 2022. IoT, big data, and artificial intelligence in agriculture and food industry. IEEE Internet of Things Journal, 9: 63056324. DOI: 10.1109/JIOT.2020.2998584
  27. Mons, B, et al. 2020. The FAIR principles: First generation implementation choices and challenges. Data Intelligence, 2: iiivi. DOI: 10.1162/dint_e_00022
  28. Osinga, SA, et al. 2022. Big data in agriculture: Between opportunity and solution. Agricultural Systems, 195. DOI: 10.1016/j.agsy.2021.103298
  29. Petrosyan, L, et al. 2023. FAIR degree assessment in agriculture datasets using the F-UJI tool. Ecological Informatics, 76. DOI: 10.1016/j.ecoinf.2023.102126
  30. Rosenzweig, C, et al. 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agricultural and Forest Meteorology, 170: 166182. DOI: 10.1016/j.agrformet.2012.09.011
  31. Sales, L, et al. 2020. GO FAIR Brazil: A Ccallenge for Brazilian data science. Data Intelligence, 2: 238245. DOI: 10.1162/dint_a_00046
  32. Sansone, SA, et al. 2019. FAIRsharing as a community approach to standards, repositories and policies. Nature Biotechnology, 37: 358367. DOI: 10.1038/s41587-019-0080-8
  33. Schultes, E, et al. 2020. Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence. In: Grossmann, G, Ram, S, Grossman, G and Ram, S (eds.), Advances in Conceptual Modeling. Cham: Springer International Publishing pp. 138147. DOI: 10.1007/978-3-030-65847-2_13
  34. Soares, FM, et al. 2022. Building a community-based FAIR metadata schema for Brazilian agriculture and livestock trading data. In: 18th International Conference on Semantic Systems. Vienna, Austria on 12–15 September 2022.
  35. Stausberg, J, et al. 2022. FAIR and quality assured data — the use case of trueness. Studies in Health Technology and Informatics, 289: 2528. DOI: 10.3233/SHTI210850
  36. Subirats-Coll, I, et al. 2022. AGROVOC: The linked data concept hub for food and agriculture. Computers and Electronics in Agriculture, 196. DOI: 10.1016/j.compag.2020.105965
  37. Sustkova, HP, et al. 2020. FAIR convergence matrix: Optimizing the reuse of existing FAIR-related resources. Data Intelligence, 2: 158170. DOI: 10.1162/dint_a_00038
  38. Thompson, M, et al. 2020. Making FAIR easy with FAIR tools: From creolization to convergence. Data Intelligence, 2: 8795. DOI: 10.1162/dint_a_00031
  39. Top, J, et al. 2022. Cultivating FAIR principles for agri-food data. Computers and Electronics in Agriculture, 196. DOI: 10.1016/j.compag.2022.106909
  40. Torres, AM, Balbi, S and Villa, F 2023. Scientific modelling can be accessible, interoperable and user friendly: An example for pasture and livestock modelling. PloS One, 18(2): e0281348. DOI: 10.1371/journal.pone.0281348
  41. Van Reisen, M, et al. 2020. Towards the tipping point for FAIR implementation. Data Intelligence, 2: 264275. DOI: 10.1162/dint_a_00049
  42. Wilkinson, MD, et al. 2016. The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3: 160018. DOI: 10.1038/sdata.2016.18
  43. Wilkinson, MD, et al. 2019. Evaluating FAIR maturity through a scalable, automated, community-governed framework. Scientific Data, 6: 174. DOI: 10.1038/s41597-019-0184-5
  44. Wong, M, et al. 2022. Development and governance of FAIR thresholds for a data federation. Data Science Journal, 21. DOI: 10.5334/dsj-2322-013
  45. WorldFAIR. 2022. The WorldFAIR Project. Available at https://worldfair-project.eu/ [Last accessed 23 March 2023].
Language: English
Submitted on: Sep 4, 2024
|
Accepted on: Jan 12, 2024
|
Published on: Apr 12, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Christiane Bahlo, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.