The Student Register is based on annual reports from the Danish educational institutions. The majority of data is collected by system to-system reporting. However, there are a few educational institutions which report through web-based questionnaires. In cooperation with system suppliers. Statistics Denmark has established requirements for reporting formats, validation and error searches. In addition, there is an extensive validation of data at Statistics Denmark.
The Student Register is based on annual reports from the Danish educational institutions.
The register is based on information, that is gathered once a year.
The majority of data is collected by system to-system reporting. However, there are a few educational institutions which report through web-based questionnaires.
In cooperation with system suppliers Statistics Denmark has established requirements for reporting formats, validation and error searches. Search for macro errors carried out at the institutions before the data is submitted, consists of a count on some predefined categories at individual institutions. The counts are compared with the figures for the last year. If there are larger and relatively improbable fluctuations, the educational institution must follow up on it. When data is received at Statistics Denmark, they are subjected to a new error check. One of the main types of error checking is related to macro error, which is to search for the volatility that some of the institutions have also been asked to consider.
Micro-data editing is carried out in line with the more general checks, because attention is here to a greater extent focused on the discrepancies in the records. This may be disabled education codes for individual students at different institutions and education or a related check: e.g. whether the starting date is after the time of departure. A duplication check is conducted, since there is not always consistency between the dates when students change institution. Statistics Denmark dishes dates, so that the student can not be enrolled in several educations simultaneously. It happens that the institutions do not update all their students. In case of a larger number of students the institutions are asked to make a new report of data.
When data is loaded in the student register there is an error check on record level for invalids values of all variables. Furthermore we conducts checks with regard to inconsistencies between variables, such as age at commencement time in relation to education. Time series on entrance, enrollment and completion on education level are controlled.
When data are entered into The Student Register from different areas, there are in some cases overlaps between programs. These overlaps are removed from The Student Register. Some courses are reported in several parts, for example, because the student changes institution during his/her education. These education components are assembled into a single course in The Student Register.
On the basis of The Student Register, a special version of The Student Register is formed, where the education parts belonging to the same education are collected into a record if the distance between them is less or equal to 13 months. Thus, in this version of The Student Register, it is not possible to see breaks in the education courses of less than 13 months or institutional shift during the education process.
There are no corrections of data beyond what has already been described under data validation and data processing.