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Karl John Pedersen

Head of Data Quality and Management Services

Head of Data Quality and Management Services leveraging extensive experience in data management and quality across private and public sectors. He is passionate about data management, data quality, spatial data analysis, Python model development, databases and Esri GIS software.

About Karl John

Karl John is Head of Data Quality and Management Services, supporting clients across various industries to get more value from their data. This is achieved through developing requirements, standards and solution to help industry build trust in and increase the value of digital solutions. 

His primary focus is on data governance, management, and quality. Data quality is a common issue across industries and is one of the top barriers to digitalization. Karl John's work continues to drive significant advancements in data management, ensuring that stakeholders can trust data for critical decision-making so that industries can leverage data analytics and AI to inform business decisions, improve efficiencies, and drive innovation. 

His expertise encompasses data quality, data management, digital assurance, and GIS.

 

Get to know all of DNV's Digital Trust experts

My commitment to data quality ensures that industries can trust their data, unlocking its full potential to drive innovation and efficiency.

  • Karl John Pedersen

Lead an internal project for develop and align DNVs Recommended Practices (rules and standards) for quality assurance of systems based on AI, ML, data quality, sensor systems and digital twins.

 

Providing expertise on assurance of data quality to EU research project InterQ, enabling safe and efficient manufacturing.

 

Bringing ESG data to life for tanker owner and operator Frontline 

 

Responsible for the development and maintenance of DNV’s recommended practice for data quality assurance (DNV-RP-0497)  

Goknil, A., Nguyen, P., Sen, S., Politaki, D., Niavis, H., Pedersen, K.J., Suyuthi, A., Anand, A. and Ziegenbein, A., 2023. A systematic review of data quality in CPS and IoT for Industry 4.0. ACM Computing Surveys, July. 

 

Isaja, M., Nguyen, P., Goknil, A., Sen, S., Husom, E.J., Tverdal, S., Anand, A., Jiang, Y., Pedersen, K.J., Myrseth, P., Stang, J., Niavis, H., Pfeifhofer, S. and Lamplmair, P., 2023. A blockchain-based framework enabling trusted quality data sharing towards zero-defect manufacturing. Computers in Industry, April. 

 

Pedersen, K.J., 2019. The role of data quality in model and algorithm assurance. Presented at Oslo Big Data Day Conference, March. 

 

Pedersen, K.J., 2019. How to ensure IoT sensor data are fit for use. Presented at Geotek Norwegian User Conference, February. 

 

Pedersen, K.J., 2016. Dynamic resource modelling - environmental risk analysis for Arctic oil and gas activity. Presented at Esri Norwegian User Conference, February. 

 

DNV 

Principal Specialist in the Environmental Risk Management department

Geodata 

Senior GIS Consultant

Foran Norge AS 

GIS Operator/Specialist

University of Durham, UK 

Assistant section leader and senior IT consultant, IT Service

University of Edinburgh 

MSc, Geographic Information Systems

Aberystwyth University 

BSc, Geography

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