Guidance for data quality assessment: Practical methods for data analysis
HERO ID
625037
Reference Type
Technical Report
Subtype
EPA Report
Year
2000
| HERO ID | 625037 |
|---|---|
| Material Type | EPA Report |
| Year | 2000 |
| Title | Guidance for data quality assessment: Practical methods for data analysis |
| Authoring Organization | U.S. Environmental Protection Agency |
| Publisher Text | U.S. Environmental Protection Agency |
| City | Washington, DC |
| Abstract | PURPOSE AND OVERVIEW Data Quality Assessment (DQA) is the scientific and statistical evaluation of data to determine if data obtained from environmental data operations are of the right type, quality, and quantity to support their intended use. This guidance demonstrates how to use DQA in evaluating environmental data sets and illustrates how to apply some graphical and statistical tools for performing DQA. The guidance focuses primarily on using DQA in environmental decision making; however, the tools presented for preliminary data review and verifying statistical assumptions are useful whenever environmental data are used, regardless of whether the data are used for decision making. |
| Report Number | EPA/600/R-96/084 |
| Url | http://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=30003GXE.txt |
| Is Certified Translation | No |
| Dupe Override | No |
| Number Of Pages | 219 |
| Is Public | Yes |
| Is Qa | No |
| Downloads |