Data quality and ethics in IT related projects
Juvonen, Malgorzata (2022)
Juvonen, Malgorzata
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022121530029
https://urn.fi/URN:NBN:fi:amk-2022121530029
Tiivistelmä
Data is used today across societies and companies on a large scale in every industry and it becomes rather impossible for firms to run business successfully without presence of data. The purpose of this thesis was to explore data issues in IT related projects, how these data quality issues were taken into consideration, followed, and measured. The study reflected also on data ethics in IT projects and brought insights how to enhance overall performance of IT related projects in general with data quality. Data quality refers to the reliability of information to serve an intended purpose. The quality of data is based on factors such as accuracy, completeness, consistency, reliability and up-to-dateness. Data ethics is concerned about ownership, transparency, and privacy. It is about responsible and sustainable use of data, and it is a challenge that projects cannot afford to ignore.
The theory of the study consisted of key scientific articles and books on data quality and ethics, measurement and evaluation. The data collection was completed by conducting an online survey in Webropol sent via LinkedIn direct mail.
The thesis research results provided insights into data quality and ethical aspects in projects as well as related challenges. In conclusion, data quality and ethics were considered important in projects regardless of the stakeholder’s role in the projects. In majority of cases there were problems with quality and ethics along the life circle of projects and despite of the importance quality was not measured and data ethics not widely taken into consideration. As a development proposal it was suggested that project members should adopt more agile approach to quality and ethics and perform assessments continuously throughout the project cycle to find possible problems prior to project completion.
The theory of the study consisted of key scientific articles and books on data quality and ethics, measurement and evaluation. The data collection was completed by conducting an online survey in Webropol sent via LinkedIn direct mail.
The thesis research results provided insights into data quality and ethical aspects in projects as well as related challenges. In conclusion, data quality and ethics were considered important in projects regardless of the stakeholder’s role in the projects. In majority of cases there were problems with quality and ethics along the life circle of projects and despite of the importance quality was not measured and data ethics not widely taken into consideration. As a development proposal it was suggested that project members should adopt more agile approach to quality and ethics and perform assessments continuously throughout the project cycle to find possible problems prior to project completion.