Improved Data Quality

Standardize data capture, and automate quality assurance checks

Data quality is of great importance to researchers. At every stage of the data life-cycle requires some form of data quality checks: from data collection, curation, analysis, and finally publication. LabKey Server provides an array of different features to ensure that researchers are producing and working with the highest quality data.

Data Collection

LabKey Server helps researchers collect better data from the very beginning. This can be as simple as providing drop-downs to constrain user entry or more in-depth through the use of complex scripts that check and transform data before it is entered into the database. Data validators and range checks are also provided to ensure that the right data is entered into the system.

For more information on data collection quality controls, read related documentation available on the LabKey Support Portal:

Data Entry Tools >
Data Transformation Scripts >
Data Validators & Range Checks >

Data Curation

When managing and curating data, LabKey Server lets you rate your data row-by-row using customized states that fit your project.

For more information on data management and curation quality controls, read related documentation available on the LabKey Support Portal:

Dataset Quality Control States >
Managing Customized Dataset QC States >

Assay Specific Quality Controls

Many assay types provide specialized quality control mechanisms. For example, when working with Luminex data in LabKey Server, you can flag data for exclusion from analysis, track quality control metrics using Levey-Jennings plots, and flag outliers based on expected values.

 

Documentation & Support Resources

Feature tours, documentation and community forums are available to help you get the most out of your LabKey Server installation. Visit the LabKey Support Portal to access these resources and more.

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