DQ assurance requires IT and business experts

Description:
Comprehensive and continuous DQ assurance requires involvement of IT
and business (domain experts) in order to be effective.

Links:
None

Keywords:
Data quality, fitness for use, domain expertise

Motivation:
Often, business people think that data quality is a topic for the IT department, but IT department does not know the context (business context) of the data to be assessed. Therefore, an involvement of both parts is necessary as well as a clear assignment of responsible users to data.

Requirements/Prerequisities:
Define a data governance strategy and data responsibility roles

Level:
generic: high level abstract best practice, metalevel category (e.g. manage architectures)

Application domain:
Medicine/Healthcare, Education (Technology enhanced learning), Data science (analysis & visualisation), Industry (Production), Mobility, Energy, Software engineering

Main phase:
Generic: Design/Plan

In which projects do/did you use this practice?
In the COMET project Sebista

Project manager / Researcher

>10 years of experiences
Software Competence Center Hagenberg

1. How do you rate the potential benefit for your projects?	5
2. How often are you using that practice?	4
3. What is the effort to introduce the practice in your project upfront?	4
4. What is the effort to apply the best practice in your project daily basis?	5

Questions 1, 3 and 4 (1 = Low, 5 = High)
Question 2 (1 = Never, 5 = Always)