Provoking a Cultural Shift in Data Quality.
Sarah E McCord1, Nicholas P Webb1, Justin W Van Zee1
1US Department of Agriculture ARS Jornada Experimental Range, Las Cruces, New Mexico, United States.
Bioscience
|June 4, 2021
Summary
Ensuring ecological data quality is crucial for understanding ecosystem change. A new data quality framework promotes a cultural shift towards better data practices in ecological research.
Area of Science:
- Ecology
- Environmental Science
- Data Science
Background:
- Ecological studies depend on high-quality data for accurate process description and ecosystem change analysis.
- The rise of big data in ecology presents significant challenges in ensuring data quality, leading to potential errors, increased data cleaning time, and reduced research reproducibility.
- Poor data quality can undermine the reliability and trust in ecological research findings.
Purpose of the Study:
- To address the challenges in ecological data quality management.
- To introduce a comprehensive data quality framework designed to foster a cultural shift in ecological research practices.
- To provide a flexible framework supporting diverse collaboration models and all ecological data types.
Main Methods:
- Development of a comprehensive data quality framework tailored for ecological studies.
- The framework is designed for flexibility to accommodate various collaboration models.
- The framework supports the description of data quality across different ecological data types and study durations.
Main Results:
- The proposed data quality framework offers a structured approach to improve data integrity in ecological research.
- It facilitates better data management and enhances the reproducibility of ecological studies.
- The framework is adaptable for both short-term and long-term ecological investigations.
Conclusions:
- A cultural shift towards prioritizing data quality is essential in ecological research.
- The presented data quality framework provides a practical tool to embed data quality as a standard practice.
- Implementing this framework can enhance the reliability, reproducibility, and overall impact of ecological science.
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