What is YAMZ?
YAMZ (Yet Another Metadata Zoo) is a collective and collaborative metadata dictionary designed to support FAIR use of metadata. YAMZ enables individuals to create and manage their own terms while communities of practice comment on and vote on terms.
YAMZ is not a standard. It is a collection of terms, the most popular of which should be easy to find by knowledge workers selecting terms to include in their ontologies and standards. Some terms are unchanging, and some are still evolving. Essentially, each YAMZ term is a nano-specification with a unique, persistent identifier to track the term from evolving to mature to deprecated.
Current development is focusing on enhancing application features that integrate community member expertise to: 1) determine a canonical set of metadata terms and 2) analyze and improve the quality of related metadata. This notion builds on the ranking/feedback loop that underlies community-driven systems in computer-supported cooperative work. YAMZ is integrating with ORCiD to find new ways for authors to automatically receive recognition for their work and provide opt-in rich profile information to help inform search result rankings.
Getting Involved
If you are interested in research experience helping us enhance the open source YAMZ, please visit this page for more information on system design and the skills we’re looking for.
The current version of YAMZ is hosted by the Drexel College of Computing and Informatics at https://yamz.net. The code and issue list is on Github (https://github.com/metadata-research/yamz). There is a beta site usually accessible at yamz-dev.yamz.net.
IMLS LEADING program
YAMZ has been supported via the NSF-U.S. Research Data Alliance/Ronin Institute as part of the IMLS LEADING fellowship program.
Publications
Greenberg, J., McClellan, S., Rauch, C., Zhao, X., Kelly, M., An, Y., Kunze, J., Orenstein, R., Porter, C., Meschke, V. and Toberer, E., 2023. Building community consensus for scientific metadata with YAMZ. Data Intelligence, 5(1), pp.242-260. https://doi.org/10.1162/dint_a_00211
Duerr, R., Buttigieg, P.L., Berg-Cross, G., Blumberg, K.L., Wiegand, N. and Rose, K., 2023. Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET: Towards a General Model for Semantic Harmonization. https://eartharxiv.org/repository/view/5394/
Greenberg J, Wu M, Liu W, Liu F. Metadata as Data Intelligence. Data Intelligence. 2023 Mar 8;5(1):1-5. https://doi.org/10.1162/dint_e_00212
Rauch, C. B., Kelly, M., Kunze, J., & Greenberg, J. (2022). FAIR Metadata: A Community-Driven Vocabulary Application. In E. Garoufallou, M.-A. Ovalle-Perandones, & A. Vlachidis (Eds.), Metadata and Semantic Research (pp. 187–198). Springer International Publishing. https://doi.org/10.1007/978-3-030-98876-0_16
Koskela, R., Richard, S., Zaslavsky, I., Kelbert, A. and Duerr, R. (2022) Fostering Resource Integration: EarthCube Resource Registry. Authorea Preprints. https://doi.org/10.1002/essoar.10500455.1
Kelly, M., Rauch, C.B., Greenberg, J., Grabus, S., Boone, J., Kunze, J. and Logan, P.M. (2021) Advancing ARKs in the Historical Ontology Space. Code4Lib Journal, (50). https://journal.code4lib.org/articles/15608
Mcggibney, L.J., 2018. Semantic Web for Earth and Environmental Terminology (SWEET) 2018: status, future development and community building. [Google scholar]
Kunze, John, Scout Calvert, Jeremy D. DeBarry, Matthew Hanlon, Greg Janée, and Sandra Sweat. “Persistence statements: describing digital stickiness.” (2017). https://digitalcommons.unl.edu/libraryscience/417/
Esteva M, Adair A, Kulasekaran SA, Coronel JB, Jansen C. A data model for lifecycle management of natural hazards engineering data. In International Conference on Dublin Core and Metadata Applications 2017 Dec 2 (pp. 73-74). https://dcpapers.dublincore.org/pubs/article/view/3869
Greenberg, J., Murillo, A., Kunze, J., Callaghan, S., Guralnick, R., Nassar, N., … & Patton, C. (2014, January). Metadictionary: advocating for a community-driven metadata vocabulary application. In DC-2013, Lisbon, Portugal. https://n2t.net/ark:/13960/s2zg7dwqz6t
Patton, C. (2014). Community-based scoring of metadictionary terms [PDF]. https://github.com/cjpatton/seaice/blob/master/doc/Scoring.pdf
Presentations
Kunze, John. (2023) “The YAMZ Metadictionary”, Summer 2023 ESIP conference, July 20. slides
Kunze, John. (2023) “YAMZ.net: a crowdsourced metadata dictionary Metadictionary”, iPRES 2023 conference, September 19. slides