Case study: publishing an interactive, reproducible data workflow using Frictionless data standards

Mr James Wilmot1, Ms. Varvara Efremova1

1UNSW Sydney, Australia

Biography:

Varvara is a research software consultant currently working with UNSW Sydney as well as the ACCESS-NRI NCRIS facility. She has a background in physics and extensive experience designing and building web-based software solutions that enable consistent, reproducible execution and publication of scientific workflows.

James is a research software engineer at UNSW Sydney with a background in physics. He has an interest in research data standardisation, schemas and specifications as well as metadata and provenance management. He has extensive experience in web application technologies, containerisation, data structures and metadata. When not coding he enjoys running, cycling and being outdoors.

Varvara and James are part of the team developing opendata.studio – a declarative data analysis and publication platform for reproducibility and publication.

Abstract:

This poster presents a case study on publishing a reproducible, interactive data analysis, using a binding constant analysis as an example.

We outline a pathway to achieving fully FAIR (Findable, Accessible, Interoperable, Reusable) publication of data analysis workflows, leveraging existing open source data specifications and industry standard tools.

This work was undertaken as part of opendata.studio, a software toolbox currently in development, designed to publish data analysis workflows as fully interactive and reproducible web applications.

 

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