Digital Humanities

Journal article

DigiMusTh: Using pre-built tools for a static, multimodal text collection

Corinna Keupp, Jana Klinger, Torsten Roeder, Fabian C. Moss

Code4lib Journal

Journal article

Beyond Bars: Distribution of Edit Operations in Historical Prints

Adrian Nachtwey, Fabian C. Moss, Anna Viktoria Katrin Plaksin

Music & Science

Report

Musicology and European Partnerships: Resilient Cultural Heritage and Virtual Worlds

R. Ahrendt, A. Arjmand, M. Bebak, A. Bellia, A. Caussé, C. Cavicchi, B. Dolce, D. V. Filippi, S. Gasch, M. Guido, S. Hamhuis, S. Holland, C. Levaux, E. MoredaRodriguez, Fabian C. Moss, J. Neumann, L. Pugin, G. Rossi Rognoni, C. Scuderi, P. Vendrix

Zenodo

Journal article

Inferring Communities of Medieval Music Manuscripts Using Stochastic Block Models

Tim Eipert, Fabian C. Moss

Transactions of the International Society for Music Information Retrieval

What can we learn from the content of surviving medieval music manuscripts about their cultural context?

Report

Developing digital preservation, edition, and analysis of sources of medieval monophony and its theory: A Report from the EarlyMuse STS in Würzburg, Germany

A. Ignesti, K. Landerkin, D. Merlin, M. Winter, Fabian C. Moss, K. Voigt

Zenodo

Conference paper Accepted

A Bayesian Approach to Modality and Regionality in Medieval Chant

Tim Eipert, Christoph Finkensiep, Fabian C. Moss

Computational Humanities Research (CHR)

Report

COST Action EarlyMuse 2022–2026: Six Reports on Musicology in Europe

R. Ahrendt, M. Argyriou, A. Arjmand, G. Avocat, G. Balch, F. Baldassari, M. Bebak, A. Bellia, N. Berentsen, V. Besson, V. Borghetti, A. Braud, D. Burn, C. Cavicchi, S. Cerrillo, J. Coleman, J. Cook, E. Corswarem, V. Crogiez, I. Ćurković, B. Dolce, J. Droese, M. U. Ekinci, F. Escriva-Llorca, N. Fabbri, D. Fabris, D. Fiala, R. Freedman, S. Gasch, M. González, K. Grabnar, G. Groll, A. Guevara Alonso, M. Guido, J. Hajič jr, S. Hamhuis, J. I. Haug, S. Holland, J. Iwaszko, I. Jelaca, G. Joachimiak, M. Jochymczyk, M. Kalopana, L. Kastrati, M. Kirnbauer, M. Kokole, S. Kourmpana, O. Lartillot, E. Lazorík, C. Lesemann-Elliott, C. Levaux, D. Lewis, E. Lici, S. Lorenzetti, K. Maňáková, K. Mancey, D. Marinčič, J.C. MartinezSevilla, M.M. Meašić, D. Meredith, M. Mitchell, Fabian C. Moss, J. Neumann, M. Noorduin, O. Okhrimenko, A. Oliveira, A. M. Olmos, K. M. Parke, V. Parrilla, I. Perković, A. Piéjus, E. Pietroni, A. Pister-Gainiene, A. Plaksin, G. Pranis, T. Psychoyou, A. Puentes Blanco, L. Pugin, M. Quais, R. Ridgewell, C. Riedo, K. Roger, E. Ros-Fábregas, G. Rossi Rognoni, S. Rzepka, M. Saccomano, N. Şahin, T. Schmidt, M. Siatkowska, P.A. SousaeSilva, D. Spanoudakis, K. Šter, P. Stergiopoulos, L. Stras, H. Studeničová, M.E.M. ThomaeElías, K. Tomova, M. J. de la Torre Molina, D. Rizo Valero, P. Van Kranenburg, V. Vavoulis, P. Vendrix, E. Veselovská, V. VIRGILI, V. Vrbanic, A. Whittaker, C. Wiesenfeldt, R. Wolf, E. Worthington, M. Woźniak, S. Wronkowska, I. Yordanova, J. Adler-McKean, T. Cressy, Z. YıldızAbbasoğlu, A. Caussé, E. MoredaRodriguez, C. Scuderi, D. V. Filippi, J. Lupianez

CESR–Ricercar Lab / Zenodo

Book chapter Accepted

From JPEG to Tree: Analysis of Melodic Variants in the Graduale Synopticum Edition

Tim Eipert, Fabian C. Moss

Shaping Early Music Research in the Digital Era: Case Studies on Plainchant (Brepols)

Report

Establishment of an open digital collection of historical music theory texts from German-speaking countries based on 19th-century examples (DigiMusTh) – Project Documentation and Guidelines

Fabian C. Moss, T. Roeder, J. Klinger, C. Keupp, J. M. Roth

Zenodo

Report

Musicology as data science and heritage science

A. Arjmand, M. Bebak, A. Bellia, N. Berentsen, V. Borghetti, A. Braud, C. Cavicchi, E. Corswarem, J. Droese, M. U. Ekinci, R. Freedman, K. Grabnar, A. Guevara Alonso, S. Hamhuis, J. I. Haug, I. Jelaca, M. Jochymczyk, L. Kastrati, M. Kokole, O. Lartillot, E. Lazorík, C. Lesemann-Elliott, C. Levaux, D. Lewis, M.M. Meašić, D. Meredith, Fabian C. Moss, M. Noorduin, A. Oliveira, A.M. Olmos Saez, K. Parke, V. Parilla Lopez, A. Piéjus, G. Pranis, L. Pugin, C. Riedo, E. Ros-Fábregas, G. Rossi Rognoni, S. Rzepka, M. Saccomano, T. Schmidt, L. Stras, H. Studeničová, M. Thomae Elias, E. Veselovská, V. Vrbanic, R. Wolf, E. Worthington, S. Wronkowska, J. Coleman, B. Dolce, G. Joachimiak, A. Puentes Blanco

Zenodo

Conference paper

Knowing when to stop: insights from ecology for building catalogues, collections, and corpora

Jan Hajič jr., Fabian C. Moss

Proceedings of the 12th International Conference on Digital Libraries for Musicology

How much are we still missing?

Report

STSM-2025: Exploring AI-Assisted Techniques for Importing and Querying RISM Data

A. Arjmand, C. Elliot, Fabian C. Moss, L. Hunter-Bradley, L. Catalán Báguena, L. Pugin, A. Hankinson, R. Zitellini

RISM Digital Centre, Bern, Switzerland / Zenodo

Journal article

Corpus Troporum Dataset: A Digital Catalog of Trope Elements in Medieval Chant

Tim Eipert, Corinna Bongartz, Fabian C. Moss

Journal of Open Humanities Data

We present a dataset of occurrences of so-called trope elements in manuscripts of European medieval chant.

Blog post

Big Data = Großes Wissen? Herausforderungen der digital-vergleichenden Korpusforschung

Adrian Nachtwey, Fabian C. Moss

kontrovers – Debatten zur Musikwissenschaft

Dataset

Graduale Synopctium Dataset

Tim Eipert, A. Hartelt, F. Puppe, Fabian C. Moss

OSF

Book

Computational and digital approaches to music scholarship

Fabian C. Moss

PubPub (CODAMUS)

Conference paper

MonodiKit: A data model and toolkit for medieval monophonic chant

Tim Eipert, Fabian C. Moss

DLfM ‘23: Proceedings of the 10th International Conference on Digital Libraries for Musicology

We present MonodiKit, a Python library for the analysis and processing of medieval chant documents.

Dataset

Corpus Troporum Dataset

Tim Eipert, Fabian C. Moss

OSF

Blog post

Vorsicht, Sackgasse! Ein Plädoyer für mehr Intradisziplinarität

Fabian C. Moss

musiconn.kontrovers - Blog des FID Musikwissenschaft

Es ist eine Tradition in Texten zu „Digitalität” in der Musikforschung, gleich zu Beginn festzustellen, dass diese bereits seit vielen Jahren zum festen Bestandteil des musikwissenschaftlichen Methodenrepertoires gehört. Ebenso ist es üblich, darauf hinzuweisen, dass diese „neuartigen Methoden“ ein ungeahntes Potential für unsere Disziplin freilegen können/sollen/werden, und dass es sich deshalb lohnt, in sie zu investieren. Eine andere Texttradition hingegen verweist darauf, dass der bisherige Ertrag von computergestützten Methoden allenfalls als mäßig beschrieben werden könne. Der Nachweis erstens der Neuheit und zweitens des qualitativen Zugewinns algorithmisch oder statistisch erzeugter Resultate gegenüber händisch in Eigen- und Einzelarbeit erzeugten Erkenntnissen stehe noch aus.

Conference paper

Challenging sources: a new dataset for OMR of diverse 19th-century music theory examples

Fabian C. Moss, Néstor Nápoles López, Maik Köster, David Rizo

Proceedings of the 4th International Workshop on Reading Music Systems (WoRMS 2022)

This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this data set.

Dataset