Get started with Data validation

Success is best measured by creating a rule book (ISM) that measures the product's standards at the correct stage of development. Integration with the ISM standards into your data empowers successful validation.

Validation with the website

Run the validation easily using the page driven workflow from the Data validation website.

API understanding

Like all APIs, it is necessary to understand the architecture of the input and output to achieve the result desired.

For the API, this guide articulates the design of the API and the steps necessary to achieve validation results. What this guide does not define is every available class within the API; that becomes self-evident when working with the API. This guide can be considered a map by which any route available can be selected to reach the goal.

What is expected

• A working knowledge of API architectures in general

• Using a tool(s) that has proper access to CONNECT to work with the Data validation service

• Working knowledge of ISM as it relates to class libraries

What is provided

• Guidance for how the API expects data queries and datasets

• How to define the type of queries needed to validate the dataset

• Examples of:

  • How to create queries

  • How to create expected formats for return of results

• Support