Research output per year
Research output per year
Project Details
Description
Huge amount of data is collected and entered into computer systems by humans and machines during various operations and services both in industrial companies and public organisations. Unfortunately, these data often contain errors or they can be interpreted in many different ways by various users during the information production process. This is a problem because the validity and consequences of decisions depend on the quality and meaning of the data they are based on. The QUALIDAT-project aims to improve the validity of decisions by creating methods and building knowledge for managing and developing information production processes with an emphasis on the quality of data.
| Short title | Qualidat-T30501 |
|---|---|
| Status | Finished |
| Effective start/end date | 01/09/2012 → 31/12/2014 |
Collaborative partners
- Aalto University (lead)
- Tekes:Research funding (other) (Project partner)
- Business Finland Oy (Project partner)
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Factors Influencing the Quality of Manually Acquired Asset Data
Mahlamäki, K. & Rämänen, J., 2015, 9th World Congress on Engineering Asset Management (WCEAM) held in Pretoria South Africa from 28-31 October 2014. Amadi-Echendu, J., Hoohlo, C. & Mathew, J. (eds.). Springer, p. 273-284 12 p. (Lecture Notes in Control and Information Sciences; vol. 20).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
1 Citation (Scopus) -
Reference Model for Transparent Data Supply
Laine, S. & Lee, C., 24 Jul 2015, Proceedings of the 20th International Conference on Information Quality, ICIQ 2015. MIT Press, p. 135-149 15 p. (Proceedings of the International Conference on Information Quality).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Timestamp Accuracy in Healthcare Business Process Improvement
Laine, S., Soikkeli, J., Ruohonen, T. & Nieminen, M., 24 Jul 2015, Proceedings of the 20th International Conference on Information Quality, ICIQ 2015. MIT Press, p. 150-164 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review