Authors:
A. M. Rosado da Cruz
1
;
2
;
Pedro Silva
1
;
Sérgio Serra
1
;
Rodrigo Rodrigues
1
;
Pedro Pinto
1
and
Estrela Ferreira Cruz
1
;
2
Affiliations:
1
ADiT-LAB, Instituto Politécnico de Viana do Castelo, 4900-348 Viana do Castelo, Portugal
;
2
ALGORITMI Research Lab, Universidade do Minho, Guimarães, Portugal
Keyword(s):
Quality Assessment, Data Quality Validation, Sustainability Indicators, Textile and Clothing Value Chain.
Abstract:
The Textile and Clothing (T&C) industrial sector is transforming to become more sustainable and in line with the directives of the European Union. Therefore, to become more transparent and gain consumer trust, some projects present proposals to implement the traceability of T&C products. However, this sector has a very large and diverse value chain that involves many types of industries that are typically spread throughout the world. Furthermore, a previously developed project to implement traceability on the value chain reveals that the involved companies have different levels of digital maturity and, among those with the same level of maturity, different digital platforms are used. Consequently, some values submitted for a T&C traceability platform may be collected automatically, while others have to be manually inserted. This makes it necessary to create a tool for validating the data values submitted to the traceability platform, which can be integrated into the different organiz
ational tools so that the data can be validated homogeneously. After summarizing the relevant and contextualizing facts about the T&C value chain, and reviewing the data quality assurance mechanisms, this paper proposes a software service for validating data values of metrics being traced across the T&C value chain, that integrates the Digital Product Passport of T&C items. Associated with the validation service, an admin platform for configuring the service for each metric is also proposed.
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