Work

Documentation for the Selective Encoding of Music Documents

Year: 2023

Type: report

Abstract: This document presents a pair of formalized schemes for including information about the completeness of a Music Encoding Initiative (MEI) encoding with respect to the extent of the source data represented by the file. We refer to such an encoding as a "Selective Encoding." Our more structured method takes advantage of MEI's capacity to create customized schemas. It features both new and repurposed elements and attributes to model a music encoding as the complete collection of a source's encoded and unencoded sections. Each section is provided with a unique ID and a set of parameter values that allow for easy-to-find and easy-to-read metadata regarding the extent of the score's digital representation. Our simpler method works within already existing MEI structures and is essentially a clarification of existing usage, taking advantage of element entailments along with text descriptions to identify and retrieve encoding information from an MEI file.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7870624

Authors: Saccomano, Mark, Rosendahl, Lisa, Lewis, David, Hankinson, Andrew, Kepper, Johannes, Page, Kevin, Shibata, Elisabete, Siegert, Christine

Institutions: Paderborn University, University of Oxford, RISM Digital Center, Beethoven-Haus Bonn

Language: English

Topic: Digital Humanities and Scholarship

Subfield: Literature and Literary Theory

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: green

Funders: Research Councils UK, Arts and Humanities Research Council

Awards: Beethoven in the House: Digital Studies of Domestic Music Arrangements, G952584450

OpenAlex ID: W4367169796

Cites:

Cited by:

Related to: 10