A practical guide to data management and sharing for biomedical laboratory researchers

• Published in: Experimental neurology Vol. 378; no. C; p. 114815
• Main Authors: Fouad, K., Vavrek, R., Surles-Zeigler, M.C., Huie, J.R., Radabaugh, H.L., Gurkoff, G.G., Visser, U., Grethe, J.S., Martone, M.E., Ferguson, A.R., Gensel, J.C., Torres-Espin, A.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.08.2024
• Subjects: Biomedical Research - methods; Biomedical Research - standards; Data Management - methods; Data sharing; Humans; Information Dissemination - methods; Neurosciences & Neurology; Research data management; Research Personnel; Research data management; Data sharing
• ISSN: 0014-4886; 1090-2430; 1090-2430
• DOI: 10.1016/j.expneurol.2024.114815

Effective data management and sharing have become increasingly crucial in biomedical research; however, many laboratory researchers lack the necessary tools and knowledge to address this challenge. This article provides an introductory guide into research data management (RDM), and the importance of FAIR (Findable, Accessible, Interoperable, and Reusable) data-sharing principles for laboratory researchers produced by practicing scientists. We explore the advantages of implementing organized data management strategies and introduce key concepts such as data standards, data documentation, and the distinction between machine and human-readable data formats. Furthermore, we offer practical guidance for creating a data management plan and establishing efficient data workflows within the laboratory setting, suitable for labs of all sizes. This includes an examination of requirements analysis, the development of a data dictionary for routine data elements, the implementation of unique subject identifiers, and the formulation of standard operating procedures (SOPs) for seamless data flow. To aid researchers in implementing these practices, we present a simple organizational system as an illustrative example, which can be tailored to suit individual needs and research requirements. By presenting a user-friendly approach, this guide serves as an introduction to the field of RDM and offers practical tips to help researchers effortlessly meet the common data management and sharing mandates rapidly becoming prevalent in biomedical research. •Research data management is essential for effective and efficient research.•Data sharing is part of the data management plan and it should be by design, rather than an after thought.•This guide provides a clear and feasible example of an easy-to-implement data management system.•Data sharing and management mandates require good organizational practices in the lab.