-
This issue is for data quality checks on the merged data relay and clearinghouse data once they are stitched together. Follows on from #270
-
We need to develop and write a protocol for quality assurance checks on the data in Specify. This involves selecting a minimum of 5 Specify records per collection for which DaSSCo is generating data v…
-
### Title
Data Quality
### Guide
Reproducible Research
### Draft
_No response_
### Summary of proposed chapter
Purpose: provide guidance about what to do to rigorously investigate data quality,…
-
Produce a notebook of data quality checks and pull out key insights from this.
Data quality checks:
- [ ] Amount of missing data
- [ ] Number of duplicate businesses
- [ ] Number of businesse…
-
The data obtained from the WNBL / FIBA Livestats site is currently included in this package largely "as is" and needs closer checking as I expect there will be errors.
This issue will start off as …
-
- [ ] some early dates, but most beyond 2017, will need to filter
- [ ] number of patients, too few may be a problem
- [ ] number of stores
-
General discussion of data quality checks we can perform.
-
As part of the data quality measures implemented for this project, we have developed SQL code that performs row counts and other data quality checks to make sure the correct number of records are incl…
-
For the FAIR Data Quality check engine (issue #328), consult the ESIP AI-Readiness Checklist for a list of data quality checks that the community has felt are important for assessment for prep for ML …
-
Proposed definition:
- _quality assurance_ : Ensuring that instruments are operated according to a defined standard operating procedure before taking the measurement. This includes writing the standa…