Rocky Mountain Ellipse (RME) is a software package designed to provide an explicit digital record of the metrological traceability of a measurement result. In other words, RME will allows users to build a record that describes how a measurement result can be related to a reference through a documented unbroken chain of calibrations, each contributing to the measurement uncertainty (https://jcgm.bipm.org/vim/en/2.41.html). To show the traceability of measurements, RME provides a flexible, explicit system to organize and annotate scientific data and data analysis workflows. Because measurement uncertainty is closely related to traceability, RME allows users to track how the uncertainty of a measurement results derives from other measurements by providing tools to facilitate measurement uncertainty propagation (linear finite-difference and Monte-Carlo) through arbitrary Python functions. The system is compatible with the BIPM Guide to the expression of uncertainty in measurement (GUM). RME is intended to be part of a FAIR (https://www.go-fair.org/fair-principles/) software ecosystem that will facilitate re-use of code and data. This vision includes an online archive that could eventually store records of NIST’s entire traceability chain, and beyond.
Please see documentation for more details. This is a new research project that has not yet reached maturity. The API may change in the future.
About this Dataset
| Title | Rocky Mountain Ellipse Digital Traceability Software |
|---|---|
| Description | Rocky Mountain Ellipse (RME) is a software package designed to provide an explicit digital record of the metrological traceability of a measurement result. In other words, RME will allows users to build a record that describes how a measurement result can be related to a reference through a documented unbroken chain of calibrations, each contributing to the measurement uncertainty (https://jcgm.bipm.org/vim/en/2.41.html). To show the traceability of measurements, RME provides a flexible, explicit system to organize and annotate scientific data and data analysis workflows. Because measurement uncertainty is closely related to traceability, RME allows users to track how the uncertainty of a measurement results derives from other measurements by providing tools to facilitate measurement uncertainty propagation (linear finite-difference and Monte-Carlo) through arbitrary Python functions. The system is compatible with the BIPM Guide to the expression of uncertainty in measurement (GUM). RME is intended to be part of a FAIR (https://www.go-fair.org/fair-principles/) software ecosystem that will facilitate re-use of code and data. This vision includes an online archive that could eventually store records of NIST’s entire traceability chain, and beyond. Please see documentation for more details. This is a new research project that has not yet reached maturity. The API may change in the future. |
| Modified | 2025-05-02 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | Uncertainty propagation , metrological traceability |
{
"identifier": "ark:\/88434\/mds2-3825",
"accessLevel": "public",
"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "Aaron Hagerstrom"
},
"programCode": [
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],
"landingPage": "https:\/\/github.com\/usnistgov\/rmellipse",
"title": "Rocky Mountain Ellipse Digital Traceability Software",
"description": "Rocky Mountain Ellipse (RME) is a software package designed to provide an explicit digital record of the metrological traceability of a measurement result. In other words, RME will allows users to build a record that describes how a measurement result can be related to a reference through a documented unbroken chain of calibrations, each contributing to the measurement uncertainty (https:\/\/jcgm.bipm.org\/vim\/en\/2.41.html). To show the traceability of measurements, RME provides a flexible, explicit system to organize and annotate scientific data and data analysis workflows. Because measurement uncertainty is closely related to traceability, RME allows users to track how the uncertainty of a measurement results derives from other measurements by providing tools to facilitate measurement uncertainty propagation (linear finite-difference and Monte-Carlo) through arbitrary Python functions. The system is compatible with the BIPM Guide to the expression of uncertainty in measurement (GUM). RME is intended to be part of a FAIR (https:\/\/www.go-fair.org\/fair-principles\/) software ecosystem that will facilitate re-use of code and data. This vision includes an online archive that could eventually store records of NIST\u2019s entire traceability chain, and beyond. \n\nPlease see documentation for more details. This is a new research project that has not yet reached maturity. The API may change in the future.",
"language": [
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"distribution": [
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-3825\/3825_README.txt",
"mediaType": "text\/plain",
"title": "3825_README"
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"modified": "2025-05-02 00:00:00",
"publisher": {
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"name": "National Institute of Standards and Technology"
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"theme": [
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}
