Data quality and data responsibility

Data quality and data responsibility is a collaborative project between KTH and Lund University, supported by the research platform Smart Built Environment. The project aims to study quality and responsibility in the use of geodata for the built environment processes. It is based on the standards, methods and responsibilities currently used for ensuring quality in geodata and BIM area both nationally and internationally.

The primary objective of the project is to provide recommendations for quality evaluation and reporting of geodata as well as quality assurance of digital processes involving geodata. The project is based on the standards and methods currently used for ensuring quality in geodata and BIM in Sweden and internationally. The question is how these methods need to be extended to enable the exchange of quality-assured data within the processes for the built environment. The project also aims at studying responsibility issues in relation to data quality, more explicitly, at studying the technical issues of data responsibility such as version management, traceability, and data security.

Funded by the Smart Built Environment  program and Formas .

Publications

Sun, J., Olsson, P.-O., Eriksson, H., Harrie, L., 2019. Evaluating the geometric aspects of integrating BIM data into city models. J. Spat. Sci., 2019: p. 1-21. (This paper has awarded the Best Research Paper Award for 2020 by the Editorial Board of the Journal of Spatial Science.)

Sun, J., Eriksson, H., Harrie, L., Jensen, A., 2018. Sharing building information from planning to maintenance phases. AGILE 2018. 2018. Lund, Sweden.

Sun, J., Mi, S., Olsson, P.‐O., Paulsson, J., Harrie, L., 2019. Utilizing BIM and GIS for Representation and Visualization of 3D Cadastre. ISPRS Int. J. Geo‐Inf., 2019, Vol. 8, 503‐527, doi:10.3390/ijgi8110503.

Sun, J., 2019. The integration of 3D geodata and BIM data in 3D city models and 3D cadastre. Licentiate Thesis. KTH Royal Institute of Technology, Stockholm, Sweden.