This paper presents a case study on institutional research data tracking accomplished by the Research Data Service at the Leibniz Centre for Tropical Marine Research (ZMT). It first discusses the strategic relevance of systematic monitoring and introduces a working definition of institutional research data. By demonstrating how metadata from published datasets can be integrated into the ZMT DataPortal, the study highlights how visibility, discoverability, and institutional oversight of research outputs can be strengthened. Practical approaches for harvesting metadata from major repositories are outlined, with a focus on scalable and sustainable solutions. In this context, the paper examines the use of Application Programming Interfaces (APIs), web-based search interfaces, Python libraries, and open-source tools such as Zotero.
Hemmelskamp-Pfeiffer B., George H.C. and Opätz F. (2025) Towards Institutional Data Tracking: A Case Study from the Leibniz Centre for Tropical Marine Research (ZMT).
@misc{Hemmelskamp-Pfeiffer2025,
Title = {Towards Institutional Data Tracking: A Case Study from the Leibniz Centre for Tropical Marine Research (ZMT)},
Author = {Hemmelskamp-Pfeiffer, Birte and George, Helen Clara and Opätz, Finn},
Editor = {},
Year = {2025},
Doi = {10.5281/zenodo.17223681},
Abstract = {This paper presents a case study on institutional research data tracking accomplished by the Research Data Service at the Leibniz Centre for Tropical Marine Research (ZMT). It first discusses the strategic relevance of systematic monitoring and introduces a working definition of institutional research data. By demonstrating how metadata from published datasets can be integrated into the ZMT DataPortal, the study highlights how visibility, discoverability, and institutional oversight of research outputs can be strengthened. Practical approaches for harvesting metadata from major repositories are outlined, with a focus on scalable and sustainable solutions. In this context, the paper examines the use of Application Programming Interfaces (APIs), web-based search interfaces, Python libraries, and open-source tools such as Zotero.},
}
TY - MGZN
AU - Hemmelskamp-Pfeiffer, Birte
AU - George, Helen Clara
AU - Opätz, Finn
TI - Towards Institutional Data Tracking: A Case Study from the Leibniz Centre for Tropical Marine Research (ZMT)
PY - 2025
DO - 10.5281/zenodo.17223681
AB - This paper presents a case study on institutional research data tracking accomplished by the Research Data Service at the Leibniz Centre for Tropical Marine Research (ZMT). It first discusses the strategic relevance of systematic monitoring and introduces a working definition of institutional research data. By demonstrating how metadata from published datasets can be integrated into the ZMT DataPortal, the study highlights how visibility, discoverability, and institutional oversight of research outputs can be strengthened. Practical approaches for harvesting metadata from major repositories are outlined, with a focus on scalable and sustainable solutions. In this context, the paper examines the use of Application Programming Interfaces (APIs), web-based search interfaces, Python libraries, and open-source tools such as Zotero.
ER -
