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

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.