Data Freshness in Ecology and Conservation
Autor: | Emma V. Kennedy, Mitchell B. Lyons, Jorge G. Álvarez-Romero, Nicholas J. Murray |
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Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
Ecology 010504 meteorology & atmospheric sciences Computer science Ecology (disciplines) media_common.quotation_subject Uncertainty 010603 evolutionary biology 01 natural sciences Data science Replication (computing) Environmental data Lead (geology) Data quality Quality (business) Data reporting Dimension (data warehouse) Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences media_common |
Zdroj: | Trends in Ecology & Evolution. 36:485-487 |
ISSN: | 0169-5347 |
Popis: | Evolving capabilities in environmental data collection, sharing, and processing, are enabling unprecedented use of data from a wide range of sources. Yet data freshness, an important quality dimension associated with the age of data, is a poorly reported aspect of data quality that can lead to additional uncertainty in research findings. |
Databáze: | OpenAIRE |
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