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Edition: 10 March 2008

 

(A)      INTRODUCTION

 

 

1.            BACKGROUND

 

This document provides specifications for the Department of Education's unit record statistics collections for higher education students and staff. 

 

The unit record collections for students and staff data replace the collection of data in the form of SAPSE tables.  On 19 March 1999 all higher education institutions were informed about the main features of the unit record collections through the document entitled A New Higher Education Statistical Reporting System for Students and Staff - A Concept Paper.   Subsequently on 11 August 1999, the Department provided to all institutions the key technical details about the collections: specifications for file scopes, file structures, data element dictionary and glossary.

 

Those specifications are to be implemented for the first time in respect of 1999 data for students and 2000 data for staff.

 

The initial edition of this document is consistent with the 11 August 1999 specifications and includes full details of those specifications.  Additional information is provided about the processes that institutions are to implement in complying with the Department's requirements for the provision of the returns required.  All other relevant technical specifications are also provided, including edit validation rules.

 

 

2.            CONTENTS OF THIS DOCUMENT

 

The role of this document is to provide complete specifications which define the requirements of the Department in respect of the unit record student and staff data collections.  A secondary role of the document is provision of information to users of data from the collections so that they are aware of the nature of the data provided by institutions.

 

This document provides the following information: 

Section A:        Introduction

Section B:        History of amendments

Section C:        Contacts

Section D:        Steps involved in preparing returns

Section E:        Scopes of flat ASCII files to be prepared by institutions, census dates, due dates for returns

Section F:        Structure of flat ASCII files to be prepared by institutions

Section G:        Data element dictionary for base data elements

Section H:        Data element dictionary for derived data elements

Section I:          Glossary

Section J:         How to determine credit values for courses in universities

Section K:        Edit validation rules

Section L:         Installing and using the Department's software package "VALPAC.Net"

Section M:        CESM classification at the second level

 

The History of amendments section of this document provides a cumulative listing of changes that have been made to the original and any later editions.  When any changes are made, a complete updated version of this document will be released in electronic format.

 

 

3.            RELATED DOCUMENTATION

 

The following documentation provides related information which may be of value to institutions in preparing their returns or to users of the data collected:

 

(Note:  listing to be suplied in next version of this document)

 

 

4.            THE DEPARTMENT'S SOFTWARE PACKAGE "VALPAC.Net"

 

The Department maintains a PC-based software package "VALPAC.Net".  This package is provided at no cost to all higher education institutions.  They are required to use VALPAC.Net to import data in ASCII (plain text) files prepared from their systems into the VALPAC.Net Access database, generate edit validation reports, and to generate other reports which are used in undertaking quality assurance of the data prior to sending the data the Department. 

 

VALPAC.Net is updated from time to time.  The latest version of the package may be obtained at no cost from the Department. 

 

 

5.            RETURNS TO BE SENT TO THE DEPARTMENT

 

The data for the unit record collections are to be sent to the Department in the form of the Access database which is generated by VALPAC.Net.  This is the only format which is accepted by the Department.

 

The Access database sent by an institution to the Department will contain data imported from these ASCII files which the institution initially prepared from its systems:

 

For the student collection:

              Student file

              Course registrations file

              Credit value file

              Qualification file

              Qualification CESM file

              Course file

 

For the staff collection:

              Staff profile file

              Staff FTE file

 

For the Building space collection:

              Campus File

              Building File

              Room File

 

For the student collection, the Access database is to be prepared and sent to the Department on at least three occasions each year.  The third submission is the final audited data.  For the staff collection, the Access database is to be prepared an sent to the Department on one occasion each year.   For the building space collection, the Access database is to be prepared an sent to the Department on one occasion each year.  Details about these submissions and the due dates are provided in Section E.

 

 

6.            RESPONSIBILITY FOR ASSURING THE ACCURACY OF THE DATA IN THE COLLECTIONS

 

The responsibility for ensuring the accuracy and completeness of the data in the returns provided to the Department rests with the institution.  To ensure the accuracy and completeness of the data, institutions are required to use VALPAC.Net to generate edit validation reports, distribution reports, summary reports and other reports, and to use the contents of those reports in checking and assuring the quality of their data. 

 

Any data conditions which lead to "fatal" errors being indicated in validation reports must be fixed prior to sending the Access database to the Department.  The Department will not accept returns which contain data conditions that lead to generation of fatal error messages during edit validation runs.  Data conditions that lead to the generation of "warning" error messages must be inspected by institutions and the institution must be confident that such data are appropriate and correct, and provide assurance to that effect to the Department.

 

In addition to inspecting and resolving validation error messages, institutions must also inspect the data that can be generated through VALPAC.Net's comprehensive reports.  The institution must be confident about the reasonableness and accuracy of the data summarised in such reports prior to sending the data to the Department.

 

 

7.            CONFIDENTIALITY OF THE DATA PROVIDED TO THE DEPARTMENT

 

The Department recognises that unit record data imported into the VALPAC.Net database's Student table, Course registrations table, Staff profile table and Staff FTE table relate to individual students or staff, and are provided to the Department by each institution on a confidential basis.  Such information in unit record format will be provided only to SAQA and to other Government bodies which have a legislated right of access to the information and a Government-sanctioned need for the information.  Within the Department, access to such unit record data will be restricted to authorised officers who have a Department-sanctioned right of access.  This access will be restricted to staff responsible for processing the data received and staff responsible for undertaking detailed analysis of the unit record data. 

 

Unit record data from the Student table, Course registrations table, Staff profile table and Staff FTE table will not be published in their raw form nor will such data be provided in their raw form to individuals and bodies other than those referred to in the preceding paragraph.  Where such data are shown in publications, the data will be in aggregated format with counts relating to groups of people, not to individuals.  However, publications will identify aggregated data for individual institutions identified separately.

 

From the unit record data the Department may generate for any individual or body, tabulations showing aggregated data, and files of aggregated data in electronic format.  The aggregated data will comprise counts relating to groups of people who have the same characteristics.  Such data may include tabulations or records with individual institutions being separately identified.  As a rule, such aggregations of data which will be released will have a compaction ratio of 1:5 (i.e. one aggregated record for every five unit records) or a smaller ratio (i.e. 1:6 or 1:7, etc.).

 

Under no circumstances will individuals and bodies other than those referred to in the first paragraph of this section be provided data records or tabulations which show student numbers, staff numbers, South African identity numbers and addresses.

 

The data in the Credit value table, Qualification table, Qualification CESM table and Course table for each institution do not relate to individual students or staff.  Normally such information can be found in institutional documents that are in the public domain.  Therefore the data in these tables will be treated by the Department as being not confidential and may be provided to any interested individual or body.

 

The Department's software application VALPAC.Net, which is to be used to validate data prior to sending it to the Department, will include a function which will encrypt the database which is to be sent to the Department.

 

 

8.            ACCESS TO THE DATA COLLECTED

 

After undertaking its own procedures to assure that the data provided by institutions meet its requirements, the Department will transfer the data from individual institution's databases to a national database.  That database will also contain aggregated historical data which will be transferred from the holdings of data in the form of SAPSE tables for the years 1985 to 1998. 

 

The Department will be able to generate aggregated datasets from the national database and will make them available to all institutions and to other bodies and people who have an interest in the statistical data for the higher education sector.  In generating these aggregated datasets, the principles of confidentiality outlined in section 7 above will be adhered to.