GIS Data Quality Assessment - 1

Qualitative Assessment of the Impact of GIS Data Quality

The questions below represent the first step of a two step process to quantify the effects of bad GIS data. It is expected that by quantifying the impact of bad data, utilities will be able to cost-justify data improvement projects. The results of this research will be made available to the participants.

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* 1. Please enter the name of your utility. Answers to questions will not be associated with a utility or published without permission. This question is just to find out who has answered the survey.

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* 2. Please enter your name. This question is to help us distribute the results of the research. It will not be published.

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* 3. Please enter your email address. This question is to help us distribute the results of the research. It will not be published.

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* 4. What type of utility are you?

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* 5. Does your utility also deliver gas, water or sewer service?

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* 6. Do you store all distribution system asset data in the GIS?"

Yes

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* 7. Please provide a summary of the data that you store within your GIS.

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* 8. Do you store distribution system asset data in an Asset Management and/or Asset Maintenance system?

Yes

Other (please specify)

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* 9. Please provide a summary of the data that you store within your Asset Management and/or Asset Maintenance system.

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* 10. Do you store non asset data (for example, Vegetation Management and Property Management, etc.) in the GIS?

Yes

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* 11. Do you have a unique asset ID across your distribution system?

Yes

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* 12. Do you physically tag your assets in the field with this unique ID?

Yes

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* 13. Please Provide a summary of the functions that you perform with your GIS.

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* 14. Which other distribution systems are dependent on data from your GIS?

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* 15. Which other distribution systems is your GIS dependent on for data?

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* 16. Who are the users (direct access) of GIS data?

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* 17. How to you measure and assess GIS data quality at the present time (timeliness of update, accuracy to true field conditions, referential integrity, completeness, redundancy, etc…)?

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* 18. How good is the accuracy (not completeness) of your GIS data? Worse than 50%, better than 50, 75% or 90% correct?

Worse than 50%

Better than 50% but worse than 75%

Better than 75% but worse than 90%

Better than 90%

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* 19. How good is the completeness of your GIS data? Worse than 50%, better than 50, 75% or 90% complete?

Worse than 50%

Better than 50% but worse than 75%

Better than 75% but worse than 90%

Better than 90%

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* 20. Are the users confident about the accuracy (not completeness) of your GIS data?

Yes

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* 21. Are the users confident about the completeness of the GIS Data?

Yes

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* 22. Have you ever encountered a catastrophic event due to poor data quality? If so, please describe it and how it was a result of poor data quality.

Yes

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* 23. If the answer to the previous question was yes, please describe it and how it was a result of poor data quality.

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* 24. Have you ever experienced an extraordinary benefit due to high data quality

Yes

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* 25. If the answer to the previous question was yes, please describe it and how it was the result of good data quality.

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* 26. Do you compare your data quality with that of your peers?

Yes

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* 27. Do you have any programs in place to improve data quality?

Yes

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* 28. If the answer to the previous question was yes, what are they, how did you prioritize them, and how did you justify them?

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* 29. Do you have an internal team dedicated to data quality assessment and improvement programs?

Yes

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* 30. Where do you think you experience the most issues with data quality at the present time?

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* 31. Has your GIS data deteriorated over time?

Yes

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* 1. Please enter the name of your utility. Answers to questions will not be associated with a utility or published without permission. This question is just to find out who has answered the survey.

Question Title

* 2. Please enter your name. This question is to help us distribute the results of the research. It will not be published.

Question Title

* 3. Please enter your email address. This question is to help us distribute the results of the research. It will not be published.

Question Title

* 4. What type of utility are you?

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* 5. Does your utility also deliver gas, water or sewer service?

Question Title

* 6. Do you store all distribution system asset data in the GIS?"

Question Title

* 7. Please provide a summary of the data that you store within your GIS.

Question Title

* 8. Do you store distribution system asset data in an Asset Management and/or Asset Maintenance system?

Question Title

* 9. Please provide a summary of the data that you store within your Asset Management and/or Asset Maintenance system.

Question Title

* 10. Do you store non asset data (for example, Vegetation Management and Property Management, etc.) in the GIS?

Question Title

* 11. Do you have a unique asset ID across your distribution system?

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* 12. Do you physically tag your assets in the field with this unique ID?

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* 13. Please Provide a summary of the functions that you perform with your GIS.

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* 14. Which other distribution systems are dependent on data from your GIS?

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* 15. Which other distribution systems is your GIS dependent on for data?

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* 16. Who are the users (direct access) of GIS data?

Question Title

* 17. How to you measure and assess GIS data quality at the present time (timeliness of update, accuracy to true field conditions, referential integrity, completeness, redundancy, etc…)?

Question Title

* 18. How good is the accuracy (not completeness) of your GIS data? Worse than 50%, better than 50, 75% or 90% correct?

Question Title

* 19. How good is the completeness of your GIS data? Worse than 50%, better than 50, 75% or 90% complete?

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* 20. Are the users confident about the accuracy (not completeness) of your GIS data?

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* 21. Are the users confident about the completeness of the GIS Data?

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* 22. Have you ever encountered a catastrophic event due to poor data quality? If so, please describe it and how it was a result of poor data quality.

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* 23. If the answer to the previous question was yes, please describe it and how it was a result of poor data quality.

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* 24. Have you ever experienced an extraordinary benefit due to high data quality

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* 25. If the answer to the previous question was yes, please describe it and how it was the result of good data quality.

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* 26. Do you compare your data quality with that of your peers?

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* 27. Do you have any programs in place to improve data quality?

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* 28. If the answer to the previous question was yes, what are they, how did you prioritize them, and how did you justify them?

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* 29. Do you have an internal team dedicated to data quality assessment and improvement programs?

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* 30. Where do you think you experience the most issues with data quality at the present time?

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* 31. Has your GIS data deteriorated over time?

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* 32. What has led to the deterioration of this data?

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* 33. Which data is maintained to the highest quality? What lessons learned are there from these data elements?

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* 34. Have you invested in automated routines to assess and correct data issues? If so, please describe them.

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* 35. How would you approach measuring the value of data quality?