期刊
FISHERIES
卷 38, 期 2, 页码 52-64出版社
WILEY
DOI: 10.1080/03632415.2013.757975
关键词
-
类别
资金
- Great Lakes Fishery Trust [2004.570]
- Department of Forestry and Natural Resources at Purdue University
- Department of Fisheries and Oceans
- Environment Canada
Proper data management (applying coordinated standards and structures to data collection, maintenance, retrieval, and documentation) is essential for complex projects to ensure data accuracy and accessibility. In this article, we used a recent project evaluating changes in Lake Whitefish (Coregonus clupeaformis) growth, condition, and recruitment in the Great Lakes as a case study to illustrate how thoughtful data management approaches can enhance and improve research. Data management best practices described include dedicating personnel to data curation, setting data standards, building a relational database, managing data updates, checking for and trapping errors, extracting data, documenting data sets, and coordinating with project collaborators. The data management actions taken ultimately resulted in a rich body of scientific publication and a robust database available for future studies. Investing in data management allowed this project to serve as a model for taking the first steps toward a common goal of sharing, documenting, and preserving data that are collected and reported during the scientific research process.
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