Abstract
FAIR metadata is critical to supporting FAIR data overall. Transparency, community engagement, and flexibility are key aspects of FAIR that apply to metadata. This paper presents YAMZ (Yet Another Metadata Zoo), a community-driven vocabulary application that supports FAIR. The history of YAMZ and its original features are reviewed, followed by a presentation of recent innovations and a discussion of how YAMZ supports FAIR principles. The conclusion identifies next steps and key outputs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
- 2.
- 3.
The Extreme Science and Engineering Discovery Environment (XSEDE) is an NSF-funded organization that coordinates the sharing of digital services.
- 4.
- 5.
- 6.
References
CC0 - Creative Commons. https://creativecommons.org/share-your-work/public-domain/cc0/. Accessed 31 Aug 2021
typeahead.js. https://twitter.github.io/typeahead.js/. Accessed 31 Aug 2021
Cox, S.J., Gonzalez-Beltran, A.N., Magagna, B., Marinescu, M.C.: Ten simple rules for making a vocabulary fair. PLoS Comput. Biol. 17(6), e1009041 (2021)
Greenberg, J., et al.: Metadictionary: advocating for a community-driven metadata vocabulary application (2013)
Jacobsen, A., et al.: A generic workflow for the data fairification process. Data Intell. 2(1–2), 56–65 (2020)
Jeffery, K.G., Koskela, R.: RDA metadata principles and their use, November 2014
Kunis, S., Hänsch, S., Schmidt, C., Wong, F., Weidtkamp-Peters, S.: OMERO.mde in a use case for microscopy metadata harmonization: facilitating fair principles in practical application with metadata annotation tools. arXiv preprint arXiv:2103.02942 (2021)
Michener, W., Vieglais, D., Vision, T., Kunze, J., Cruse, P., Janée, G.: DataONE: data observation network for earth-preserving data and enabling innovation in the biological and environmental sciences. D-Lib Mag. 17(1/2), 12 (2011)
Patton, C.: YAMZ metadata dictionary, September 2014. https://github.com/nassibnassar/yamz
Plaisance, C.A.: Textual realities: an Aristotelian realist ontology of textual entities (14), 23–40. https://doi.org/10.4000/variants.932. https://journals.openedition.org/variants/932. Number: 14 Publisher: European Society for Textual Scholarship
Riley, J.: Understanding metadata. National Information Standards Organization, Washington DC, United States 23 (2017). http://www.niso.org/publications/press/UnderstandingMetadata.pdf
Wilkinson, M.D., et al.: The fair guiding principles for scientific data management and stewardship. Sci. Data 3(1), 1–9 (2016)
Wilkinson, M.D., et al.: Evaluating fair maturity through a scalable, automated, community-governed framework. Sci. Data 6(1), 1–12 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Rauch, C.B., Kelly, M., Kunze, J.A., Greenberg, J. (2022). FAIR Metadata: A Community-Driven Vocabulary Application. In: Garoufallou, E., Ovalle-Perandones, MA., Vlachidis, A. (eds) Metadata and Semantic Research. MTSR 2021. Communications in Computer and Information Science, vol 1537. Springer, Cham. https://doi.org/10.1007/978-3-030-98876-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-98876-0_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-98875-3
Online ISBN: 978-3-030-98876-0
eBook Packages: Computer ScienceComputer Science (R0)