Course overview
This course provides an introduction to the SuperSTAR Data Control API and demonstrates the ways this API can be used to maintain confidentiality and protect privacy.
Through lecture, demonstration and hands-on labs, participants will learn how to work with the common functions of the SuperSTAR Data Access API as follows:
- Confidentialization of data
- Monitoring the use of SuperSTAR through auditing
- Creating annotations
Who should take this course?
The target audience for this course includes:
- Developers
- Solution Architects
Topics covered
The SuperSTAR Data Control API course covers the following topics:
- Brief introduction to SuperCROSS and SuperWEB covering Tables, Recodes, Derivations, User Defined Fields and Summation Options
- Understanding the need for data control to maintain confidentiality and protect privacy
- Learning about data control methods within SuperSTAR
- Understanding the Data Control API architecture
- Overview of the Data Control API functions
- Development of data control methods to
- implement rounding rules
- implement concealment rules
- implement annotations
- apply business rules and duty of care
- log information for auditing purposes
- implement rounding rules
- Development of parameterized data control methods
- Development of comprehensive data control methods to implement combination of rounding rules, concealment rules and annotations.
Prerequisite skills
For this course we strongly recommend that participants have:
- Knowledge of the C/C++ Programming Language and Microsoft Visual Studio.
- Knowledge of database concepts such as the definitions of tables, fields, primary keys, and foreign keys
- The course does not assume previous experience with SuperSTAR
Next recommended courses
Space-Time Research can offer tailored workshops, training and consulting to implement customer-specific methods of confidentializing data. Space-Time Research consultants and partners can also provide specialized mathematical and statistical consulting services to assist customers develop their own confidentiality algorithms and processes.
