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Ecological Data Should Not Be So Hard to Find and Reuse
Timothée Poisot1, Anne Bruneau2, Andrew Gonzalez3
1Université de Montréal, Département de Sciences Biologiques, Pavillon Marie-Victorin 90, Avenue Vincent-d'IndyMontréal, (Québec) H2V 2S9, Canada.
Trends in Ecology & Evolution
|May 7, 2019
Summary
Publicly shared ecological data can revolutionize research if it is more interoperable and discoverable. Adopting domain-specific data representations is key to achieving this transformation for ecological studies.
Area of Science:
- Ecological research
- Data science
- Information management
Background:
- Publicly shared archives offer vast ecological data resources.
- Current data accessibility and interoperability hinder research potential.
- Standardized data formats are needed for effective data utilization.
Purpose of the Study:
- To highlight the transformative potential of shared ecological data.
- To identify key challenges in accessing and using ecological data.
- To propose solutions for enhancing data interoperability and discoverability.
Main Methods:
- Analysis of current practices in ecological data archiving.
- Literature review on data interoperability standards.
- Argument for the adoption of domain-specific data representations.
Main Results:
- Ecological research can be significantly advanced through shared data.
- Lack of interoperability and discoverability are major barriers.
- Domain-specific data representations offer a viable solution.
Conclusions:
- Standardizing ecological data representations is crucial.
- Enhanced data accessibility will accelerate scientific discovery.
- Adoption of these standards will unlock the full potential of ecological data archives.
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