Suppr超能文献

一种基于开源软件的、用于轻松管理生物医学研究实验室元数据的系统。

A System to Easily Manage Metadata in Biomedical Research Labs Based on Open-source Software.

作者信息

Castro-Alamancos Manuel A

机构信息

Department of Neuroscience, University of Connecticut School of Medicine, Farmington CT 06001, USA.

出版信息

Bio Protoc. 2022 May 5;12(9):e4404. doi: 10.21769/BioProtoc.4404.

Abstract

In most biomedical labs, researchers gather metadata (., all details about the experimental data) in paper notebooks, spreadsheets, or, sometimes, electronic notebooks. When data analyses occur, the related details usually go into other notebooks or spreadsheets, and more metadata are available. The whole thing rapidly becomes very complex and disjointed, and keeping track of all these things can be daunting. Organizing all the relevant data and related metadata for analysis, publication, sharing, or deposit into archives can be time-consuming, difficult, and prone to errors. By having metadata in a centralized system that contains all details from the start, the process is greatly simplified. While lab management software is available, it can be costly and inflexible. The system described here is based on a popular, freely available, and open-source wiki platform. It provides a simple but powerful way for biomedical research labs to set up a metadata management system linking the whole research process. The system enhances efficiency, transparency, reliability, and rigor, which are key factors to improving reproducibility. The flexibility afforded by the system simplifies implementation of specialized lab requirements and future needs. The protocol presented here describes how to create the system from scratch, how to use it for gathering basic metadata, and provides a fully functional version for perusal by the reader. Lab Metadata Management System.

摘要

在大多数生物医学实验室中,研究人员在纸质笔记本、电子表格中,或者有时在电子笔记本中收集元数据(即关于实验数据的所有细节)。当进行数据分析时,相关细节通常会记录到其他笔记本或电子表格中,从而产生更多元数据。整个过程很快就会变得非常复杂且杂乱无章,跟踪所有这些内容可能令人望而生畏。为了分析、发表、共享或将数据存入档案而整理所有相关数据和相关元数据既耗时又困难,而且容易出错。通过在一个从一开始就包含所有细节的集中式系统中存储元数据,这个过程将大大简化。虽然有实验室管理软件可用,但它可能成本高昂且缺乏灵活性。这里描述的系统基于一个流行的、免费的开源维基平台。它为生物医学研究实验室提供了一种简单而强大的方式来建立一个链接整个研究过程的元数据管理系统。该系统提高了效率、透明度、可靠性和严谨性,而这些都是提高可重复性的关键因素。该系统提供的灵活性简化了满足实验室特定要求和未来需求的实施过程。这里介绍的方案描述了如何从零开始创建该系统,如何使用它来收集基本元数据,并提供了一个功能齐全的版本供读者研读。实验室元数据管理系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9768/9090580/b3aef72e5dac/BioProtoc-12-09-4404-ga001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验