Journal article
Building Community Consensus for Scientific Metadata with YAMZ
Data intelligence, v 5(1)
08 Mar 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper reports on a demonstration of YAMZ (Yet Another Metadata Zoo) as a mechanism for building community consensus around metadata terms. The demonstration is motivated by the complexity of the metadata standards environment and the need for more user-friendly approaches for researchers to achieve vocabulary consensus. The paper reviews a series of metadata standardization challenges, explores crowdsourcing factors that offer possible solutions, and introduces the YAMZ system. A YAMZ demonstration is presented with members of the Toberer materials science laboratory at the Colorado School of Mines, where there is a need to confirm and maintain a shared understanding for the vocabulary supporting research documentation, data management, and their larger metadata infrastructure. The demonstration involves three key steps: 1) Sampling terms for the demonstration, 2) Engaging graduate student researchers in the demonstration, and 3) Reflecting on the demonstration. The results of these steps, including examples of the dialog provenance among lab members and voting, show the ease with YAMZ can facilitate building metadata vocabulary consensus. The conclusion discusses implications and highlights next steps.
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Details
- Title
- Building Community Consensus for Scientific Metadata with YAMZ
- Creators
- Jane Greenberg - Drexel UniversityScott McClellan - Drexel UniversityChristopher Rauch - Drexel UniversityXintong Zhao - Drexel UniversityMat Kelly - Drexel UniversityYuan An - Drexel UniversityJohn Kunze - Drexel UniversityRachel Orenstein - Colorado School of MinesClaire Porter - Colorado School of MinesVanessa Meschke - Colorado School of MinesEric Toberer - Colorado School of Mines
- Publication Details
- Data intelligence, v 5(1)
- Publisher
- MIT Press
- Number of pages
- 19
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000945967800012
- Scopus ID
- 2-s2.0-85150069325
- Other Identifier
- 991020531977104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems