References
- 1AAAI Conference. 2022. Reproducibility Checklist, 22 February–1 March 2022. Available at
https://aaai.org/Conferences/AAAI-22/reproducibility-checklist/ [Last accessed 9 December 2022]. - 2Argos. Plan and follow your data. Available at
https://argos.openaire.eu/ [Last accessed 9 December 2022]. - 3Beck, K, Beedle, M, Van Bennekum, A, Cockburn, A, Cunningham, W, Fowler, M, Grenning, J, Highsmith, J, Hunt, A, Jeffries, R and Kern, J. 2001. Manifesto for agile software development.
- 4Bloemers, M and Montesanti, A. 2020. The FAIR funding model: providing a framework for research funders to drive the transition toward FAIR data management and stewardship practices. Data Intelligence, 2(1–2): 171–180. DOI: 10.1162/dint_a_00039
- 5Carroll, SR, et al. 2020. The CARE Principles for Indigenous Data Governance. Data Science Journal, 19(1): 43. DOI: 10.5334/dsj-2020-043
- 6Coakley, K. 2022. FAIR Matrix Survey API. Available at
https://github.com/kevincoakley/fair-matrix-survey-api [Last accessed 15 December 2022]. - 7CODATA-RDA-DataScienceSchools/Materials. Available at
https://github.com/CODATA-RDA-DataScienceSchools/Materials/blob/master/docs/DataAtlanta2022/index.md [Last accessed 9 December 2022]. - 8CODATA-RDA Schools of Research Data Science. Available at
https://www.datascienceschools.org/ [Last accessed 9 December 2022]. - 9Council of Data Facilities: Geoscience Research. Available at
https://www.earthcube.org/council-of-data-facilities [Last accessed 9 December 2022]. - 10De Lima, RA, Phillips, OL, Duque, A, Tello, JS, Davies, SJ, de Oliveira, AA, Muller, S, Honorio Coronado, EN, Vilanova, E, Cuni-Sanchez, A and Baker, TR. 2022. Making forest data fair and open. Nature Ecology & Evolution, 6(6): 656–658. DOI: 10.1038/s41559-022-01738-7
- 11De Smedt, K, Koureas, D and Wittenburg, P. 2020. FAIR digital objects for science: From data pieces to actionable knowledge units. Publications, 8(2): 21. DOI: 10.3390/publications8020021
- 12FAIR Connect. Available at
https://fairconnect.pro/ [Last accessed 9 December 2022]. - 13Fecher, B and Friesike, S. 2014. Open science: one term, five schools of thought. Opening science, 17–47. DOI: 10.1007/978-3-319-00026-8_2
- 14FIP Wizard. Available at
https://fip-wizard.ds-wizard.org/ [Last accessed 9 December 2022]. - 15FIP Wizard Documentation. Available at
https://fip-wizard.readthedocs.io/en/latest/ [Last accessed 9 December 2022]. - 16Gundersen, OE and Kjensmo, S. 2018. State of the Art: Reproducibility in Artificial Intelligence. Thirty-Second AAAI Conference on Artificial Intelligence, 32(1). DOI: 10.1609/aaai.v32i1.11503
- 17Gundersen, OE, Coakley, K and Kirkpatrick, C. 2022. Sources of Irreproducibility in Machine Learning: A Review. arXiv preprint arXiv:2204.07610.
- 18Jablonka, KM, Patiny, L and Smit, B. 2022. Making the collective knowledge of chemistry open and machine actionable. Nature Chemistry, 14(4): 365–376. DOI: 10.1038/s41557-022-00910-7
- 19Kirkpatrick, CR, Coakley, K, Schreiber, L, Christopher, J, Katz, D, Stocks, K and Rao, YD. 2022. FARR: FAIR in ML, AI Readiness, & Reproducibility Network Postcard. Available in San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. DOI: 10.6075/J0X92BG3
- 20Law, A. 2022. Fair Implementation Profiles (FIPs) In WorldFAIR: What Have We Learnt? Available at
https://worldfair-project.eu/2022/09/30/fips-in-worldfair-what-have-we-learnt-public-workshop-tue-25-october/ [Last accessed 9 December 2022]. - 21LibGuides: Research Data Management: FAIR data. Available at
https://ufs.libguides.com/rdm/fair [Last accessed 9 December 2022]. - 22Magnetics Information Consortium (MagIC). Available at
https://www2.earthref.org/MagIC/about [Last accessed 9 December 2022]. - 23McCormick, M. 2012. Waterfall vs. Agile methodology. MPCS, N/A, 3.
- 24Miksa, T, Walk, P and Neish, P. 2020. RDA DMP Common Standard for Machine-actionable Data Management Plans (Version 1.1) [Computer software]. DOI: 10.15497/rda00039
- 25National Institutes of Health. 2020. Final NIH Policy for Data Management and Sharing, 29 October 2020. Available at
https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html [Last accessed 9 December 2022]. - 26Nicholson, C, Kansa, S, Gupta, N and Fernandez, R. 2023. Will It Ever Be FAIR?: Making Archaeological Data Findable, Accessible, Interoperable, and Reusable. Advances in Archaeological Practice, 11(1): 63–75. DOI: 10.1017/aap.2022.40
- 27NSF HSI National STEM Resource Hub: Grantsmanship – Training and Resources. Available at
https://hsistemhub.org/grantsmanship/ [Last accessed 9 December 2022]. - 28Praetzellis, M and Riley, B. 2019. California Digital Library: DMPTool, 8 November 2019.
https://cdlib.org/services/uc3/dmptool/ [Last accessed 9 December 2022]. - 29Qualtrics XM – Experience Management Software. Available at
https://www.qualtrics.com/ [Last accessed 9 December 2022]. - 30Schultes, E and Wittenburg, P. 2019. FAIR Principles and Digital Objects: Accelerating convergence on a data infrastructure. Data Analytics and Management in Data Intensive Domains: 20th International Conference, DAMDID/RCDL 2018, Moscow, Russia,
October 9–12, 2018 , Revised Selected Papers 20 (pp. 3–16). DOI: 10.1007/978-3-030-23584-0_1 - 31Sureshchandra, K and Shrinivasavadhani, J. 2008 Moving from waterfall to agile. Agile 2008 conference: 97–101.
IEEE . DOI: 10.1109/Agile.2008.49 - 32Vita, R, Overton, JA, Mungall, CJ, Sette, A and Peters, B. 2018. FAIR principles and the IEDB: short-term improvements and a long-term vision of OBO-foundry mediated machine-actionable interoperability. Database, 2018. DOI: 10.1093/database/bax105
- 33Wallis, JC and Borgman, CL. 2011. Who is responsible for data? An exploratory study of data authorship, ownership, and responsibility. Proceedings of the American Society for Information Science and Technology, 48(1): 1–10. DOI: 10.1002/meet.2011.14504801188
- 34Wilkinson, MD, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1): 160018. DOI: 10.1038/sdata.2016.18
- 35WorldFAIR. Available at
https://worldfair-project.eu/ [Last accessed 9 December 2022].
