MEL quality control

At MEL, we have implemented an online quality control tools so that data entry staff can perform a range of quality control checks on their databasing, and so we can check for existing errors in type records prior to sending data to the Global Plants Initiative.

Data entry quality checks
The data entry quality control checks are designed to be run at the end of each databasing session (regardless of whether records are being added or edited), so that errors can be detected and corrected before the specimens are incorporated or sent for mounting.

Staff enter their user name and the date from which they want to check their data entry:


 * [[File:MEL_FQCM_input.jpg]]

The output lists errors (or potential errors) in the database records, grouped by the type of error:


 * [[File:MEL_FQCM_output.jpg]]

Users can make a record set of the records that need fixing, which will be listed in Specify next time they log in:


 * [[File:MEL_FQCM_recordset.jpg]]

The data entry quality control checks are listed in the fcqmmodel.php file on the rbgmelbourne-melisr Google code site.

GPI error checks
The GPI quality control checks are run before each batch of images (and associated specimen data) is sent to JSTOR.

The catalogue numbers of the types in a batch of images are uploaded, and the number of errors in the data is indicated:


 * [[File:MEL_GPI_upload.jpg]]


 * [[File:MEL_GPI_datasets.jpg]]

The output lists the errors in the type records, grouped by the type of error:


 * [[File:MEL_GPI_errorlist.jpg]]

The person undertaking the GPI quality control can make a record set of the records that need fixing, which will be listed in Specify next time they log in:


 * [[File:MEL_GPI_recordset.jpg]]


 * [[File:MEL_GPI_recordset2.jpg]]

The GPI quality control checks are listed in the gpimodel.php file on the rbgmelbourne-melisr Google code site.