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Hello :)
There is a great software that I use in my company called Great Expectations, its a tool to check data quality. They have a feature called data docs, it is HTML documentation about data qu…
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## Hello!
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- If you want to implement this feature, comment to let us know (we'll work with you on design, scheduling, etc.)
## Issue details
We aim to k…
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# Story
As a PHL or HCO, so that we're confident the various branches of our workflows will work under ETOR, test various scenarios that use test orders and corresponding results from partner system…
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Issue by @MaxUlysse, moved from SciLifeLab#666
- [ ] [ExpansionHunter](https://github.com/Illumina/ExpansionHunter) for estimating repeat sizes
- [ ] [QDNAseq](https://github.com/ccagc/QDNAseq) CN…
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yc-hu updated
2 months ago
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Add to Quinn a tool to profile incoming data, check if it adheres to registered schema and do custom data quality checks.
At the end of it, a human readable report is autogenerated that can be saved …
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### Description
### Description
This RFC proposes the introduction of Bit Manipulation Utilities to the stdlib.js library.
Bit manipulation is a common requirement in low-level programming, performan…
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## Background
`SparkJobs` return non-zero return code when there's an incorrect data definition (data not adhering to schema for example) or some other exception.
## Feature
It has been suggested…
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### Problem Description
What are the different metrics I can use to check quality of PII information produced?
report.get_diagnostics() checks the coverage and range of numerical/categorical data.…
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Currently all QC flags are TRUE/FALSE. It probably makes more sense to convert them to categorical. Could follow idea of NOAA: http://www.ioos.noaa.gov/qartod/temperature_salinity/qartod_temperature_s…