Data Management Skillbuilding Hub

Data Life Cycle: assure


Best Practices by Data Life Cycle

Best Practice: Assure

Data Life Cycle

Select a Best Practice below to learn more about the “Assure” stage in the Data Life Cycle.

What is the “Assure” stage?

Employ quality assurance and quality control procedures that enhance the quality of data (e.g., training participants, routine instrument calibration) and identify potential errors and techniques to address them.

More information can be found in the Best Practices Primer.

Hosted by DataONE

In collaboration with the community, DataONE has developed high quality resources for helping educators and librarians with training in data management, including teaching materials, webinars and a database of best-practices to improve methods for data sharing and management.

Question If you have a question or concern, please open an Issue in this repository on GitHub.