Over time, the historical development of work processes can lead to inefficiencies in data collection and data processing. This was also the case for the laboratory data from the MAREE at the Leibniz Centre for Tropical Marine Research (ZMT). To address this issue, a pilot project was initiated as part of the Use Case 27 of the NFDI4Biodiversity. The project aimed to systematically record and improve the processing of research data from the ZMT’s experimental laboratories, with a particular focus on establishing a structured collection of nutrient data from the MAREE’s water tanks. This paper discusses the challenges encountered in this data processing, outlines the procedure applied to overcome them, and provides recommendations that are applicable to other data processing challenges in research institutes.
Rieken M., Hemmelskamp-Pfeiffer B. and Monien D. (2025) Optimizing Laboratory Data Processing at the ZMT and Guidelines for the General Community 10.5281/zenodo.16940033
@misc{Rieken2025,
Title = {Optimizing Laboratory Data Processing at the ZMT and Guidelines for the General Community},
Author = {Rieken, Marion and Hemmelskamp-Pfeiffer, Birte and Monien, Donata},
Editor = {},
Year = {2025},
Doi = {10.5281/zenodo.16940033},
Abstract = {Over time, the historical development of work processes can lead to inefficiencies in data collection and data processing. This was also the case for the laboratory data from the MAREE at the Leibniz Centre for Tropical Marine Research (ZMT). To address this issue, a pilot project was initiated as part of the Use Case 27 of the NFDI4Biodiversity. The project aimed to systematically record and improve the processing of research data from the ZMT’s experimental laboratories, with a particular focus on establishing a structured collection of nutrient data from the MAREE’s water tanks. This paper discusses the challenges encountered in this data processing, outlines the procedure applied to overcome them, and provides recommendations that are applicable to other data processing challenges in research institutes.},
}
TY - RPRT
AU - Rieken, Marion
AU - Hemmelskamp-Pfeiffer, Birte
AU - Monien, Donata
TI - Optimizing Laboratory Data Processing at the ZMT and Guidelines for the General Community
PY - 2025
DO - 10.5281/zenodo.16940033
AB - Over time, the historical development of work processes can lead to inefficiencies in data collection and data processing. This was also the case for the laboratory data from the MAREE at the Leibniz Centre for Tropical Marine Research (ZMT). To address this issue, a pilot project was initiated as part of the Use Case 27 of the NFDI4Biodiversity. The project aimed to systematically record and improve the processing of research data from the ZMT’s experimental laboratories, with a particular focus on establishing a structured collection of nutrient data from the MAREE’s water tanks. This paper discusses the challenges encountered in this data processing, outlines the procedure applied to overcome them, and provides recommendations that are applicable to other data processing challenges in research institutes.
ER -
