About the project

The Metrology Atlas is a dataset-independent way to describe a recorded dataset as a measurement system. Users of open physiological datasets mostly treat each record as exact: a time and a value. Each is a measurement, with a measurement model, a bias and an uncertainty, and an analysis that relates two signals in time inherits all of them. An atlas writes those down for every variable, with the evidence behind each number.

What carries over from one dataset to the next is the schema, the engine and its checks, the website and the machine-readable file, the planner, and the timing tools. What is written afresh is the dataset’s own folder and the studies behind it.

Cite

Cite the atlas version you used, and the paper for the approach.

• VitalDB metrology atlas: doi:10.5281/zenodo.23494768 (all versions; each version has its own DOI on that record)
• Paper: Andrew J. Goodwin, Hyung-Chul Lee, Danny Eytan. The Metrology Atlas: describing clinical time-series data as a measurement system. arXiv preprint, arXiv:2610.29001.

Each repository also has a CITATION.cff file, which GitHub turns into a “Cite this repository” button.

Contribute

Corrections, new studies, better models and code are welcome. Open an issue or a pull request on the engine repository, naming the page or file concerned; questions and wider discussion go in its Discussions. Each atlas’s own site has a Contributing page with the rules for that dataset, and every contribution is checked by the same engine before it is built.

Licences

Atlas text and figures are shared under CC BY 4.0, and the software under the MIT licence. Each dataset keeps its own licence, stated on its atlas’s Data and licence page.

People

The project is led by Andrew J. Goodwin, School of Biomedical Engineering, The University of Sydney (ORCID 0000-0002-2776-7039). Paper authors are listed with each paper.