|
|
Paper: |
Forensic Data Quality Assurance |
Volume: |
411, Astronomical Data Analysis Software and Systems XVIII |
Page: |
9 |
Authors: |
Shaw, R.A.; Seaman, R.L.; Lowry, S.; Lanning, H.H. |
Abstract: |
Accurate metadata are essential for the scientifically meaningful interpretation of data products. Yet metadata from legacy NOAO data-taking systems are often incomplete and sometimes inaccurate. A new Data Quality Assurance (DQA) system for NOAO is proposed to ensure the best possible data and metadata accuracy, integrity, and integrability with the Virtual Observatory. |
|
|
|
|