From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals

C. Annemieke Romein; Süphan Kırmızıaltın; Ronny Reshef; Christa Schneider; Giorgia Agostini; Ash Charlton; Melissa Terras; Joseph Nockels; Seoyeong Ahn; Fatma Aladağ; Carlotta Capurro; Levi Damsma; Lorena De Vita; Laura Fahnenbruck; Gert Gielis; Rachael Griffiths; Adi Keinan-Schoonbaert; Erika Kuijpers; Mirjam El Attal; Günter Mühlberger; Juma Noah Omollo; Achim Rabus; Salvatore Spina; Nour Al Assali; Eugenio Torres Flawiá; David Joseph Wrisley; Heleen Wilbrink

doi:10.1007/s42803-025-00107-7

From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals

C. Annemieke Romein^*
, Süphan Kırmızıaltın
, Ronny Reshef
, Christa Schneider
, Giorgia Agostini
, Ash Charlton
, Melissa Terras
, Joseph Nockels
, Seoyeong Ahn
, Fatma Aladağ
, Carlotta Capurro
, Levi Damsma
, Lorena De Vita
, Laura Fahnenbruck
, Gert Gielis
, Rachael Griffiths
, Adi Keinan-Schoonbaert
, Erika Kuijpers
, Mirjam El Attal
, Günter Mühlberger

Juma Noah Omollo, Achim Rabus, Salvatore Spina, Nour Al Assali, Eugenio Torres Flawiá, David Joseph Wrisley, Heleen Wilbrink

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Transitioning from research proposal to project management in Automatic Text Recognition (ATR) for cultural heritage text collections demands meticulous planning, realistic budgeting, and efficient team coordination. Insights from the Transkribus User Conference 2024 offer a roadmap for success, emphasising clear objectives, ethical considerations, and practical outcomes. Effective budgeting should include digitization, software, staffing, and long-term storage, while a comprehensive Data Management Plan (DMP) ensures efficient data handling. Key project management tasks include team formation, workflow documentation, and document layout optimization. High-quality training and validation data in ATR require clear guidelines, iterative testing, and agreed licensing. Crowdsourcing can enhance ATR projects, and sharing models and datasets through platforms like Transkribus Sites promotes collaboration and visibility.

Original language	English
Pages (from-to)	303–332
Journal	International Journal of Digital Humanities
Volume	7
Early online date	1 Sept 2025
DOIs	https://doi.org/10.1007/s42803-025-00107-7
Publication status	Published - 2025

Keywords

Research Proposal
Project Management
Automatic Text Recognition (ATR)
Data Management Plan (DMP)
Transkribus
Digitization
Budgeting
Crowdsourcing
Volunteers
Digitalization
Collaboration
Document Layout Optimization
Cultural Heritage Sector
Digital Humanities

Access to Document

10.1007/s42803-025-00107-7Licence: CC BY

s42803-025-00107-7Final published version, 2.08 MBLicence: CC BY

1 Chapter
1 Article

Digital Art Technical Sources for the Netherlands: Integration and Improvement of Sources on Glass for a Sustainable Future – Art DATIS
Capurro, C., Provatorova, V., Hendriksen, M., Kanoulas, E. & Dupré, S., 28 Oct 2024, Commit2Data. Haverkort, B. R., de Jongste, A., van Kuilenburg, P. & Vromans, R. D. (eds.). Dagstuhl, Germany, Vol. 124. 11 p. 9. (Open Access Series in Informatics (OASIcs)).
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Open Access
File
Experimenting with Training a Neural Network in Transkribus to Recognise Text in a Multilingual and Multi-Authored Manuscript Collection
Capurro, C., Provatorova, V. & Kanoulas, E., 29 Nov 2023, In: Heritage.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File

Cite this

Romein, C. A., Kırmızıaltın, S., Reshef, R., Schneider, C., Agostini, G., Charlton, A., Terras, M., Nockels, J., Ahn, S., Aladağ, F., Capurro, C., Damsma, L., De Vita, L., Fahnenbruck, L., Gielis, G., Griffiths, R., Keinan-Schoonbaert, A., Kuijpers, E., El Attal, M., ... Wilbrink, H. (2025). From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals. International Journal of Digital Humanities, 7, 303–332. https://doi.org/10.1007/s42803-025-00107-7

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abstract = "Transitioning from research proposal to project management in Automatic Text Recognition (ATR) for cultural heritage text collections demands meticulous planning, realistic budgeting, and efficient team coordination. Insights from the Transkribus User Conference 2024 offer a roadmap for success, emphasising clear objectives, ethical considerations, and practical outcomes. Effective budgeting should include digitization, software, staffing, and long-term storage, while a comprehensive Data Management Plan (DMP) ensures efficient data handling. Key project management tasks include team formation, workflow documentation, and document layout optimization. High-quality training and validation data in ATR require clear guidelines, iterative testing, and agreed licensing. Crowdsourcing can enhance ATR projects, and sharing models and datasets through platforms like Transkribus Sites promotes collaboration and visibility.",

keywords = "Research Proposal, Project Management, Automatic Text Recognition (ATR), Data Management Plan (DMP), Transkribus, Digitization, Budgeting, Crowdsourcing, Volunteers, Digitalization, Collaboration, Document Layout Optimization, Cultural Heritage Sector, Digital Humanities",

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Romein, CA, Kırmızıaltın, S, Reshef, R, Schneider, C, Agostini, G, Charlton, A, Terras, M, Nockels, J, Ahn, S, Aladağ, F, Capurro, C, Damsma, L, De Vita, L, Fahnenbruck, L, Gielis, G, Griffiths, R, Keinan-Schoonbaert, A, Kuijpers, E, El Attal, M, Mühlberger, G, Noah Omollo, J, Rabus, A, Spina, S, Al Assali, N, Torres Flawiá, E, Wrisley, DJ & Wilbrink, H 2025, 'From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals', International Journal of Digital Humanities, vol. 7, pp. 303–332. https://doi.org/10.1007/s42803-025-00107-7

From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals. / Romein, C. Annemieke; Kırmızıaltın, Süphan; Reshef, Ronny et al.
In: International Journal of Digital Humanities, Vol. 7, 2025, p. 303–332.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Romein, C. Annemieke

AU - Kırmızıaltın, Süphan

AU - Reshef, Ronny

AU - Schneider, Christa

AU - Agostini, Giorgia

AU - Charlton, Ash

AU - Terras, Melissa

AU - Nockels, Joseph

AU - Ahn, Seoyeong

AU - Aladağ, Fatma

AU - Capurro, Carlotta

AU - Damsma, Levi

AU - De Vita, Lorena

AU - Fahnenbruck, Laura

AU - Gielis, Gert

AU - Griffiths, Rachael

AU - Keinan-Schoonbaert, Adi

AU - Kuijpers, Erika

AU - El Attal, Mirjam

AU - Mühlberger, Günter

AU - Noah Omollo, Juma

AU - Rabus, Achim

AU - Spina, Salvatore

AU - Al Assali, Nour

AU - Torres Flawiá, Eugenio

AU - Wrisley, David Joseph

AU - Wilbrink, Heleen

PY - 2025

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KW - Research Proposal

KW - Project Management

KW - Automatic Text Recognition (ATR)

KW - Data Management Plan (DMP)

KW - Transkribus

KW - Digitization

KW - Budgeting

KW - Crowdsourcing

KW - Volunteers

KW - Digitalization

KW - Collaboration

KW - Document Layout Optimization

KW - Cultural Heritage Sector

KW - Digital Humanities

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DO - 10.1007/s42803-025-00107-7

M3 - Article

SN - 2524-7832

VL - 7

SP - 303

EP - 332

JO - International Journal of Digital Humanities

JF - International Journal of Digital Humanities

ER -

From research proposal to project management. A guide from the Transkribus community on planning and executing workflows for researchers and GLAM-professionals

Abstract

Keywords

Access to Document

Fingerprint

Research output

Digital Art Technical Sources for the Netherlands: Integration and Improvement of Sources on Glass for a Sustainable Future – Art DATIS

Experimenting with Training a Neural Network in Transkribus to Recognise Text in a Multilingual and Multi-Authored Manuscript Collection

Cite this