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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月1日

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  • 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

摘要

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.