Zieliński Tomasz, Hodge James J L, Millar Andrew J
Centre for Engineering Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JD, UK.
School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol BS8 1TD, UK.
Clocks Sleep. 2023 Aug 30;5(3):499-506. doi: 10.3390/clockssleep5030033.
Standardization plays a crucial role in ensuring the reliability, reproducibility, and interoperability of research data in the biomedical sciences. Metadata standards are one foundation for the FAIR (Findable, Accessible, Interoperable, and Reusable) principles of data management. They facilitate data discovery, understanding, and reuse. However, the adoption of metadata standards in biological research lags in practice. Barriers such as complexity, lack of incentives, technical challenges, resource constraints, and resistance to change hinder widespread adoption. In the field of chronobiology, standardization is essential but faces particular challenges due to the longitudinal nature of experimental data, diverse model organisms, and varied measurement techniques. To address these challenges, we propose an approach that emphasizes simplicity and practicality: the development of README templates tailored for particular data types and species. Through this opinion article, our intention is to initiate a dialogue and commence a community-driven standardization process by engaging potential contributors and collaborators.
标准化在确保生物医学科学研究数据的可靠性、可重复性和互操作性方面发挥着关键作用。元数据标准是数据管理的FAIR(可查找、可访问、可互操作和可重用)原则的一个基础。它们有助于数据发现、理解和重用。然而,生物研究中元数据标准的采用在实践中滞后。诸如复杂性、缺乏激励措施、技术挑战、资源限制以及对变革的抵制等障碍阻碍了其广泛采用。在生物钟学领域,标准化至关重要,但由于实验数据的纵向性质、多样的模式生物和不同的测量技术,面临着特殊的挑战。为应对这些挑战,我们提出一种强调简单性和实用性的方法:为特定数据类型和物种量身定制README模板。通过这篇观点文章,我们的目的是通过吸引潜在贡献者和合作者来发起对话并启动一个由社区驱动的标准化过程。