Analytic webs support the synthesis of ecological data sets

Area of Science:

• Ecology
• Data Science
• Scientific Computing

Background:

• Ecological data synthesis across scales is crucial for addressing complex questions.
• Ensuring the reliability and validation of synthesized data is paramount for scientific integrity.
• Existing documentation methods (metadata) are often insufficient for complex data processing workflows.

Purpose of the Study:

• To introduce a formal representation, the "analytic web," for defining scientific processes in data synthesis.
• To aid both data producers and consumers in creating and validating reliable ecological data sets.
• To demonstrate the utility of analytic webs through a case study and a prototype software tool.

Main Methods:

• Formal representation of scientific processes using software engineering formalisms to create "analytic webs."
• Development of a prototype software tool, SciWalker, to facilitate the creation of analytic webs.
• Application of analytic webs to synthesize long-term, whole-ecosystem carbon exchange data.

Main Results:

• Analytic webs provide precise definitions of scientific processes, enhancing data reliability and validation.
• The SciWalker tool enables the creation of tailored analytic webs for data synthesis and validation.
• Process metadata generated by SciWalker is adaptable for inclusion in Ecological Metadata Language (EML) files.

Conclusions:

• Analytic webs offer a novel and effective system for supporting the synthesis and validation of ecological data.
• The developed framework improves data transparency and facilitates the creation of auditable data processing trails.
• Further development of tools like SciWalker can enhance data validation capabilities in ecological research.