other · Knowledge Commons (Lakehead University) · 2022
METAdata and metaDATA
Gubsch, Clemens, Ried, Dennis, Münnich, Stefan, Rizo, David
Cited by 0Open access
Abstract
Metadata are a very broad and extremely differentiated subject and ranges from rudimentary catalog data to deeply indexed scientific catalogs (e.g., catalogs of works). In this paper, the concept of metadata in the context of MEI is first examined, before two examples are used to show that metadata are more than just rudimentary descriptions. These examples are also intended to illustrate the extent to which metadata are encoded in the field of music philology and thus represent an attempt to create a little more awareness for the work of the Metadata and Cataloging Interest Group of MEI. The examples deal on the one hand with the encoding of performance resources and on the other hand with watermarks. In both cases, the possibilities of metadata encoding with MEI version 4 are exhausted and it is discussed which steps are useful and necessary to create an even deeper, machine-readable structure so that these sub-fields of the MEI metadata can also be used for larger scientific purposes such as analyses.
Cite this paper
Gubsch, C., Ried, D., Münnich, S., & Rizo, D. (2022). METAdata and metaDATA. Knowledge Commons (Lakehead University). https://doi.org/10.17613/fjaqw-nsh33
Gubsch, Clemens, et al. “METAdata and metaDATA.” Knowledge Commons (Lakehead University), 2022, https://doi.org/10.17613/fjaqw-nsh33.
Gubsch, Clemens, Dennis Ried, Stefan Münnich, and David Rizo. 2022. “METAdata and metaDATA.” Knowledge Commons (Lakehead University). https://doi.org/10.17613/fjaqw-nsh33.
Gubsch, C. et al. (2022) ‘METAdata and metaDATA’, Knowledge Commons (Lakehead University). Available at: https://doi.org/10.17613/fjaqw-nsh33.
@misc{gubsch2022metadata,
title = {{METAdata and metaDATA}},
author = {Gubsch, Clemens and Ried, Dennis and Münnich, Stefan and Rizo, David},
journal = {Knowledge Commons (Lakehead University)},
year = {2022},
doi = {10.17613/fjaqw-nsh33}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.