1. Ocean Data View 4 - Data Quality Control Reiner Schlitzer
Alfred Wegener Institute for Polar and Marine Research

2. Wish: All data are of highest quality.
Reality…

4. Need to quality control data.
Flag dubious data. Don‘t delete data!
ODV maintains a quality flag value for every data value.
Choice between 14 quality flag schemes, including SEADATANET, ODV, ARGO and others

5. ODV quality flag scheme

6. SEADATANET quality flag scheme
QFSetID= SEADATANETQF
Set Description: SEADATANET quality flags
Reference:
Flag Description
ODVGENERICQF
GTSPP
ARGO
SEADATANET
ESEAS
WOD
WODSTATION
WOCEBOTTLE
WOCECTD
WOCESAMPLE
QARTOD
BODC
PANGAEA
SMHI
no quality control 1 5 Q *
blank
good value 2 3
probably good value
probably bad value 4 7 K ?
bad value 8 / B
changed value R |
value below detection 6
<
value in excess
>
interpolated value T
missing value 9 N
value phenomenon uncertain A

7. SEADATANET quality flag scheme
QFSetID= SEADATANETQF
Set Description: SEADATANET quality flags
Reference:
Flag Description
ODVGENERICQF
GTSPP
ARGO
SEADATANET
ESEAS
WOD
WODSTATION
WOCEBOTTLE
WOCECTD
WOCESAMPLE
QARTOD
BODC
PANGAEA
SMHI
no quality control 1 5 Q *
blank
good value 2 3
probably good value
probably bad value 4 7 K ?
bad value 8 / B
changed value R |
value below detection 6
<
value in excess
>
interpolated value T
missing value 9 N
value phenomenon uncertain A

8. Purpose:
Once QC is performed the quality flags can be used to filter the data by quality.

9. Data Editing and Quality Control
easy spotting and identification of outliers or offsets
painless editing of data value and quality flag
logging of all value or flag modifications
automatic range checks and manual or automatic editing

10. Manual Data Editing and Quality Control

11. Automatic Range Checks and Outlier Removal

12. All changes logged in .log file.
Note:
All changes logged in .log file.
Can be viewed Collection>View Log file