Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit NAP.edu/10766 to get more information about this ...

Have you ever wondered how to bring fairness to the classroom using "data validation" and "data quality assurance"? We've developed an exciting toolset, built on the foundation of the Peer Review ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

ISRAEL – Research technology and synthetic data company Fairgen has developed a quality assurance tool that aims to help insight teams improve data quality. The feature, Fairgen Check, evaluates data ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

Software quality assurance management (QA) is the process of making sure that quality requirements for products or services are fulfilled. Quality assurance methods ensure that all requirements have ...

Suggested Citation: "4 Experiences with Quality Management Systems." National Academies of Sciences, Engineering, and Medicine. 2019. Assuring Data Quality at U.S. Geological Survey Laboratories.