Data Integrity Leadership Institute

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Presentation transcript:

Data Integrity Leadership Institute Summer 2017

What is Data Integrity? One of the most important and overlooked parts of data analysis Definition: maintaining accurate data on a consistent basis Collecting the correct data at correct time Entering the data into storage correctly Understanding and manipulating the data correctly Communicating that data to others correctly

Why is Data Integrity so Important? Garbage in/Garbage Out Prevents confusion Uses time and resources more efficiently Make better decisions

Lesson Learned Mars Climate Orbiter Launched 1998 Cost $125 million Disintegrated in Mars’ atmosphere in 1999 Mission failed because of a problem with data integrity

Dr. Edward Weiler, NASA’s Associate Administrator for Space Science: “People sometimes make errors. The problem here was not the error, it was the failure of NASA’s systems engineering, and the checks and balances in our processes to detect the error. That’s why we lost the spacecraft.” September 30, 1999

Another Lesson Learned

Creating Data Integrity Collecting and entering data: As a leadership team, implement policies and procedures on collecting and entering data How is data collected from the classroom? When? How is the data entered? Is everyone doing it the same way? Monitor that policies and procedures are being followed When using data in analysis: Question all of the data and verify it, even if it came from a trusted source How was this data created? What time period does it cover? What is it measuring? Is it missing anything? Or including too much?