Using custom applications or integration code to allow systems to exchange data, seek to deploy, or enhance IT systems to support and streamline business processes.
Things to consider first
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Make sure you know why you need a tool
Before developing and using data integration tools, consider the business problem you are trying to solve. Then determine which technology best addresses that problem.
Make sure to follow the same rules
University data is more than just spreadsheets and presentations - it’s information gathered about students, academics, budgets, human resources, research, and facilities.
Make sure to consider any risks
Each new tool that connects to university data also needs to be secure, which means it's possible that it will need to be reviewed by Cybersecurity to see what risk might be involved.
Each tool poses a potential security risk and may need to go through a Risk Management Framework with the campus cybersecurity team.
All tools will need to be secure and not expose campus to any unintended issues. Whether you discover a new tool, or select a pre-approved everyday data tool, there is help available to strategize and identify any red flags or concerns.
Make sure to think of the big picture
In order to be good stewards of university resources, it's good practice to see if there is an existing solution first. It can save time and money.
Once a tool has been approved, there is still planning needed to ensure its continued success. Conversations should also take place about:
- Who will support the new tool
Make sure it's accessible to everyone
Make sure to use best practices when integrating data
To create and run great interoperable experiences, follow the established 12 principles that include things like:
- Understand users and their needs
- Solve whole problems
- Provide cohesive experiences
- Make sure everyone can use it
Common use cases
API: Application Programming Interfaces
Provisioning and deprovisioning
Connecting third party tools to UW institutional data
Creating and managing groups
Syncing a database to a third-party cloud service
Data integration tools
Cloud-based data integration between systems and applications.
API Developer Portal
Design, secure, analyze, and scale APIs anywhere with visibility and control.