Quality infrastructure refers to the technical institutions supporting global trade while ensuring consumers can purchase safe, healthy, high-quality products and services.
In recent years, scientific interest in quality infrastructure (QI) has grown continuously. The Google Scholar results from 1997 to 2024 confirm this trend.
Artificial intelligence (AI) is on everyone’s lips. A significant stimulus was when the US company OpenAI published the ChatGPT in November 2022.[1] GPT stands for Generative Pre-trained Transformer and is a text-based dialogue system as a user interface based on machine learning. Millions of internet users registered to gain access to this new oracle in just a few days.
The event took place at the PTB’s Siemens Building in Berlin and online, aiming to bring researchers and practitioners together to discuss the scientific foundation of Quality Infrastructure (QI) and exchange information on the state of research in the field.
During this hybrid workshop over 100 participants from 36 countries, discussed QI’s contribution to economic development and sustainability.
On-site participants during the workshop
Until now, QI has received attention mainly from practitioners. As a result, there is a lot of grey literature and only a few peer-reviewed scientific publications focusing on QI. Against this backdrop, the event made a relevant contribution to the development of QI as a field of research.
To document the results of this first event, the organising team has prepared the following report with the main conclusions and will continue to promote the visibility of QI through further research events, publications and activities fostering the development of data transparency and the components of the quality infrastructure worldwide.
Recently, I received an Email from Anthony Haynes from Frontinus Ltd., http://frontinus.org.uk, in England. He helps, especially engineers, to write successful academic articles and books.[1] In his latest research paper,[2] he deals with the importance of grey literature.
Grey literature is a form of knowledge that serves beyond peer-reviewed journals, especially for the exchange of ideas by practitioners. Academics also use it as a medium for exploring and discussing ideas in the preliminary stages of a scientific publication.