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摘要
En 中文
There are a number of issues that inhibit the replication and reproduction of research, and make it hard to utilise existing scientific data to make new discoveries. These include poor data management, competing standards, a lack of consideration of the usability of data, and a disconnect between the publication of science and the data and methods behind it. In this paper, we examine the benefits of good data management for not only ensuring that data are well organised, easy to find, and preserved for the future, but also for facilitating reproducibility and new discoveries in science. We consider the importance of documenting data and making them usable by both humans and machines, and consider the development of tools to support these processes in the future. The implementation of good data management practices are essential to ensure that scientific data is findable, accessible and usable for verification and reuse.
期刊
IF:
5.6
论文数:
981
被引数:
1.7K
机构
引用论文
FAIRsharing as a community approach to standards, repositories and policies
NATURE BIOTECHNOLOGY
IF41.7
The design and realisation of the myExperiment Virtual Research Environment for social sharing of workflows面向工作流社会共享的mysperation虚拟研究环境的设计与实现
Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information在线化学建模环境 (OCHEM): 用于数据存储,模型开发和化学信息发布的web平台

