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February 5, 2026BIBLIOTHEK Forschung und Praxis2 citationsOpen Access

Offene Metadaten und datenanalytische Forschungsservices in der Open-Access-Transformation

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SDSophia Dörner

Key Points

  • This paper examines the role of open metadata and data analytical research services in transformative agreements related to open access.
  • Analyzed 13 transformative agreements involving German institutions and consortia
  • Evaluated provisions for open metadata licensing and data analytic services
  • Assessed variations in regulations on text and data mining and AI use
  • Provisions in transformative agreements are heterogeneous despite standardization efforts
  • Some agreements allow open licensing of metadata while others impose restrictive conditions
  • Significant variation in metadata delivery regulations and funding integration
  • Restrictive regulations on text and data mining and AI potentially hinder research innovation
  • Lack of transparency in contract documents presents challenges for implementation

Abstract

Abstract The open access transition aims to replace traditional subscription models with Open Access (OA) models. Transformative agreements between academic institutions, consortia, and publishers play a central role in this process. This paper examines the provisions related to open metadata and data analytical research services in 13 publicly accessible transformative agreements involving German institutions and their consortia. The analysis reveals that the content of these agreements is heterogeneous, despite standardization initiatives such as the ESAC Initiative. While some agreements provide for open licensing of metadata (e.g., CC0), others dominate with restrictive clauses that limit the commercial use of metadata. Similarly, the regulations on metadata delivery to Crossref and repositories, as well as the integration of funding information, vary significantly. In the area of data analytical research services, the regulations on text and data mining (TDM) and the use of artificial intelligence (AI) are often restrictive, potentially hindering innovation and the development of new research methods. The lack of transparency of contract documents and the insufficient implementation of existing recommendations on open metadata and data analytical services are identified as key criticisms.

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Cite This Study

Sophia Dörner (2026) studied this question.

synapsesocial.com/papers/698435d5f1d9ada3c1fb512ehttps://doi.org/10.1515/bfp-2025-0035
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