Provoking a Cultural Shift in Data Quality

TitleProvoking a Cultural Shift in Data Quality
Publication TypeJournal Article
Year of Publication2021
AuthorsMcCord SE, Webb NP, Van Zee JW, Burnett SH, Christensen EM, Courtright EM, Laney CM, Lunch C, Maxwell CJ, Karl JW, Slaughter A.L., Stauffer N, Tweedie CE
JournalBioScience
Date PublishedMarch 2021
KeywordsCultural shift, data quality, ecological, ecosystem
Abstract

Ecological studies require quality data to describe the nature of ecological processes and to advance understanding of ecosystem change. Increasing access to big data has magnified both the burden and the complexity of ensuring quality data. The costs of errors in ecology include low use of data, increased time spent cleaning data, and poor reproducibility that can result in a misunderstanding of ecosystem processes and dynamics, all of which can erode the efficacy of and trust in ecological research. Although conceptual and technological advances have improved ecological data access and management, a cultural shift is needed to embed data quality as a cultural practice. We present a comprehensive data quality framework to evoke this cultural shift. The data quality framework flexibly supports different collaboration models, supports all types of ecological data, and can be used to describe data quality within both short- and long-term ecological studies

URLfiles/bibliography/21-017.pdf
DOI10.1093/biosci/biab020