A Dataset Quality Assessment-An Insight and Discussion on Selected Elements of Environmental Footprints Methodology

被引:4
作者
Lewandowska, Anna [1 ]
Joachimiak-Lechman, Katarzyna [1 ]
Kurczewski, Przemyslaw [2 ]
机构
[1] Poznan Univ Econ & Business, Dept Qual Management, PL-61875 Poznan, Poland
[2] Poznan Univ Tech, Fac Civil & Transport Engn, Piotrowo 3, PL-60965 Poznan, Poland
关键词
Product Environmental Footprint; company-specific datasets; data quality assessment; MANAGEMENT;
D O I
10.3390/en14165004
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页数:19
相关论文
共 29 条
[1]  
[Anonymous], 2020, Product Environmental Footprint Category Rule: IT equipment (Storage)
[2]  
Bakst J S., 1995, Guidelines for assessing the quality of life-cycle inventory data
[3]   Life Cycle Assessment (LCA) of Environmental and Energy Systems [J].
Ciacci, Luca ;
Passarini, Fabrizio .
ENERGIES, 2020, 13 (22)
[4]   Empirically based uncertainty factors for the pedigree matrix in ecoinvent [J].
Ciroth, Andreas ;
Muller, Stephanie ;
Weidema, Bo ;
Lesage, Pascal .
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2016, 21 (09) :1338-1348
[5]  
De Klein C., 2019, REFINEMENT 2006 IPCC, V4
[6]  
Edelen A., 2016, GUIDANCE DATA QUALIT
[7]   The creation, management, and use of data quality information for life cycle assessment [J].
Edelen, Ashley ;
Ingwersen, Wesley W. .
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2018, 23 (04) :759-772
[8]  
EMEP/EEA, 2016, EEA TECH REP
[9]  
EMEP/EEA, 2013, EEA TECH REP
[10]  
European Commission, 2018, Product Environmental Footprint Category Rules (PEFCR) for still and sparkling wine