A Dataset Quality Assessment—An Insight and Discussion on Selected Elements of Environmental Footprints Methodology
Anna Lewandowska,
Katarzyna Joachimiak-Lechman and
Przemysław Kurczewski
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Anna Lewandowska: Department of Quality Management, Poznań University of Economics and Business, 61-875 Poznań, Poland
Katarzyna Joachimiak-Lechman: Department of Quality Management, Poznań University of Economics and Business, 61-875 Poznań, Poland
Przemysław Kurczewski: Faculty of Civil and Transport Engineering, Poznań University of Technology, Piotrowo 3, 60-965 Poznań, Poland
Energies, 2021, vol. 14, issue 16, 1-23
Abstract:
One of the most recently developed life cycle-based methods is an environmental footprint of products and organisations established by the European Commission. A special procedure of data and dataset quality assessment has been developed as a part of the environmental footprints methodology. The procedure may be recognised as vital and powerful but, at the same time, a bit complicated and time-consuming. It is worth discussing this subject and looking for potential simplification. In this paper, we suggest a possible way for simplification. We propose to remove an impact-assessment-based step from the procedure of company-specific datasets quality assessment. There are two potential benefits: a reduction in the need for expert knowledge and time savings. The threats posed are connected to the fact that all data influences the Data Quality Rating indicator of the entire dataset to the same degree. With a higher volume of data included in the assessment, there is a risk of greater differentiation in their quality. In this paper, an example of raw milk production is presented. The assessment of quality of the dataset was performed in three variants: pursuant to the approach established by the European Commission in the pilot phase, transition phase and with certain modifications employed.
Keywords: Product Environmental Footprint; company-specific datasets; data quality assessment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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