Reinforcing open data analysis with spam: FAIR packaging and workshop organisation

Reinforcing open data analysis with spam: FAIR packaging and workshop organisation

Category

Contribute

Institutions

EPFL

Data type

Software engineering tasks

Field

Imaging, Image Analysis

Researchers

Edward Andò

Description

When making mechanical experiments to try to understand how strong materials are and how they fail it is now routine to record images during the experiment and analyse this series of images. If using a camera, these would be images of the surface of a sample deforming. However it is increasingly common to use 3D images coming from an x-ray or neutron scanner (or MRI machine). Trying to measure the deformation between two 3D images or volumes is challenging and requires “Digital Volume Correlation”. The software “spam” is one of the rare open-source offerings in this space, developed between EPFL and some French research labs, it has a relatively large user base and good documentation. Most other mature offerings are closed-source and if they become a standard in the domain, we will miss the boat on good ORD practice. The spam developers asked for ORD funding to help make the package to be easier to install for people and to then run a workshop in Switzerland (“Hands-on workshop for deformation measurement and open research data”) to train new users to use spam. 21 people came from as far afield as Australia, almost all of them with their data. Datasets varied from metal foams being deformed, to geomaterials dissolving to in-vivo breathing lungs. The workshop allowed the spam core team to meet many new users, and to train them in a friendly setting. It was a good experience for everyone and another workshop will definitely take place at the end 2024 or beginning 2025. We hope all these new users are convinced to use this open source code, and will follow our guidelines for how to format and share image and correlation results in their communities.
Scroll to Top