Qualidat - Laadukkaalla tiedolla oikeisiin päätöksiin

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 titleQualidat-T30501
StatusFinished
Effective start/end date01/09/201231/12/2014
  • 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.). p. 273-284 12 p. (Lecture Notes in Control and Information Sciences; vol. 20).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-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, p. 135-149 15 p. (Proceedings of the International Conference on Information Quality).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • 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, p. 150-164 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review