TY - CONF A1 - van de Kreeke, Johannes A1 - Melzer, Michael T1 - The Digital RM Document (DRMD) N2 - The Digital Reference Material Document (DRMD) is a machine-readable replacement of the usual PDF Certificate. We have developed a fully functional beta version that is already in use for selected BAM materials and publicly available from the COMAR database, which showcases its feasibility. T2 - Deutsche Marktüberwachungskonferenz 2025 CY - Berlin, Germany DA - 17.09.2025 KW - Reference materials KW - Certified reference materials KW - Digital zertificates KW - QI-Digital PY - 2025 AN - OPUS4-64148 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Melzer, Michael T1 - The Digital RM Certificate Derived from the DCC N2 - The digital calibration certificate (DCC), is based on an XML-schema, which defines its general data structure and terminology. This DCC-schema is maintained and hosted by the PTB. In oder to also provide reference material certificates in machine-readable formats, allowing its automated processing and administration, the DCC-Schema is adapted to meet the specific requirements of reference material documents. This video presentation highlights the differences and similarities of both quality documents in terms of digitalization and introduces a first attempt to a DRMC-schema. T2 - CCQM Online Workshop on Digital and FAIR Chemical and Biological Reference Data and Certificates: Challenges and Opportunities CY - Online meeting DA - 09.09.2024 KW - Reference materials KW - Digital certificates KW - QI-Digital KW - Digital reference material document KW - Digital Metrology PY - 2024 AN - OPUS4-61888 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Monavari, Mehran A1 - Prellwitz, Matthias A1 - Muth, Thilo A1 - Eichstädt, Sascha A1 - Koch, Claudia T1 - Quality-X: A Federated Digital Ecosystem for the Future Quality Infrastructure N2 - Harmonized and interoperable national Quality Infrastructure (QI) systems are essential for fostering cooperation, promoting mutual trust, and facilitating trade. The true potential of the QI is realized when its elements and actors are seamlessly integrated into a cohesive digital QI ecosystem. Recent developments towards industrial international data spaces enable such an ecosystem but require the integration of QI principles. Recognizing the lack of such a platform, Quality-X aims at setting the stage for the implementation of a QI ecosystem in international data spaces (IDS), GAIA-X and related German and European projects dedicated to secure data sharing. Quality-X is not about the construction of a platform; it is the creation of an inclusive QI ecosystem with harmonized interfaces. Instead of imposing rigid data structures, it prioritizes interoperability. Through the utilization of Decentralized Identifiers (DIDs), Verifiable Credentials, and Identity Hubs, Quality-X seeks seamless interactions across diverse service provider systems. This white paper introduces the concept and vision of Quality-X and discusses the general prerequisites for integrating QI processes within data spaces. Further on, we introduce existing testbeds, which will serve as an experimental proving ground for exploring various use cases related to the implementation of the vision of a QI-Digital. +++ Harmonisierte und interoperable nationale Qualitätsinfrastrukturen (QI) sind für die Förderung der Zusammenarbeit, des gegenseitigen Vertrauens und der Erleichterung des Handels unerlässlich. Das wahre Potenzial der QI kommt zum Tragen, wenn ihre Elemente und Akteure nahtlos in ein kohärentes digitales QI-Ökosystem integriert werden. Die jüngsten Entwicklungen hin zu industriellen internationalen Datenräumen ermöglichen ein solches Ökosystem, erfordern jedoch die Integration von QI-Prinzipien. Angesichts des Fehlens einer solchen Plattform zielt Quality-X darauf ab, die Voraussetzungen für die Umsetzung eines QI-Ökosystems in internationalen Datenräumen (IDS), GAIA-X und verwandten deutschen und europäischen Projekten zum sicheren Datenaustausch zu schaffen. Bei Quality-X geht es nicht um den Aufbau einer Plattform, sondern um die Schaffung eines umfassenden QI-Ökosystems mit harmonisierten Schnittstellen. Anstatt starre Datenstrukturen aufzuerlegen, steht die Interoperabilität im Vordergrund. Durch die Verwendung von dezentralen Identifikatoren (DIDs), überprüfbaren Berechtigungsnachweisen und Identitäts-Hubs strebt Quality-X eine nahtlose Interaktion zwischen verschiedenen Systemen von Dienstleistern an. Dieses Whitepaper stellt das Konzept und die Vision von Quality-X vor und erörtert die allgemeinen Voraussetzungen für die Integration von QI-Prozessen in Datenräumen. Darüber hinaus stellen wir bestehende Testbeds vor, die als experimentelles Versuchsfeld für die Erforschung verschiedener Anwendungsfälle im Zusammenhang mit der Umsetzung der Vision einer QI-Digital dienen sollen. KW - Quality Assurance KW - Quality Infrastructure KW - Data Spaces KW - Digitalization KW - Quality Management KW - Interoperability KW - Verification KW - Identification KW - Certificate KW - Datenräume KW - Qualitätsinfrastruktur KW - Gaia-X KW - Manufacturing-X KW - Catena-X KW - Datenökosystem KW - Qualitätssicherung KW - Qualitätsmanagement PY - 2023 UR - https://www.qi-digital.de/fileadmin/user_upload/website/publikationen/1022_Brosch%C3%BCre_Quality-X_v4.pdf SP - 1 CY - Berlin AN - OPUS4-59354 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Melzer, Michael T1 - The Digital Reference Material Document Derived from the DCC N2 - The DCC enables automatization in the metrological traceability of measurements and the dissemination and processing of data from calibration services. Many calibration and measurement procedures, however, rely on certified reference materials (CRMs) to obtain metrological traceability, especially in the broad field of chemical analysis. The metrological information of those reference materials is also provided in the form of certificates, and hence, their digitization bears the same automatization potential for quality assurance and traceability as the DCC itself. Although fairly similar, a reference material certificate contains some different information, and has a variable structure and proprietary requirements compared to a calibration certificate, as it is based on the dedicated ISO 33401 standard (formally known as ISO Guide 31) rather than the ISO/IEC 17025. Accordingly, the established DCC-schema does not fully fit the purpose of machine-readable reference material certificates. At the German Federal Institute for Materials Research and Testing (BAM), we started to adapt the DCC-schema in order to derive a dedicated schema for CRM certificates. For the seamless digital description of its certified values and their uncertainties, the newly developed schema also utilizes the Digital SI and thus provides a direct link to BIPM’s digital reference point for a global harmonization of metrological quantities. Furthermore, the schema will also be suitable for non-certified reference materials in order to form a common data structure for digital reference material documents (DRMD) in general. As a validated XML report, the DRMD is also compatible with established digital security and verification infrastructure, such as electronic seals and the novel digital accreditation symbol. In this presentation we will highlight some of the essential differences between reference material documents and calibration certificates, but also point out their similarities, which well justify the derivation of the DRMD-Schema from the DCC. In addition to the metrological traceability and quality assurance, further automatization use cases by means of DRMDs are presented, ranging from database maintenance to machine learning for automated analytics. This work was supported in part by national QI-Digital initiative funded by the German Federal Ministry for Economic Affairs and Climate Action. T2 - 5th International DCC Conference CY - Online Meeting DA - 25.02.2025 KW - Reference materials KW - Certified reference materials KW - Digital certificates KW - Digitalization KW - QI-Digital PY - 2025 UR - https://www.youtube.com/watch?v=0Mzu-bNNmbM&t=2446s UR - https://www.dcc-conference-2025.ptb.de/5th-international-dcc-conference AN - OPUS4-64178 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - van de Kreeke, Johannes T1 - QI-Digital-Werkzeuge: DRMD N2 - Im Rahmen der Initiative QI-Digital wird ein digitales Referenzmaterial-Zertifikat (DRMD) entwickelt. Es basiert auf dem digitalen Kalibrierzertifikat (DCC) und ist ebenso wie dieses ein Element des Quality-X-Ökosystems. Die Entwicklung fokussiert zunächst auf zwei Produkte: das DRMD-XML-Schema einerseits und einen DRMD-Generator andererseits, mit dem händisch und/oder mittels KI DRMD-Dateien generiert werden können. Als Repositorium - und vor allem auch als PR-Maßnahme - könnte die COMAR-Datenbank dienen. T2 - Forum QI-Digital 2024 CY - Berlin, Germany DA - 09.10.2024 KW - Digitalisierung KW - Qualitätsinfrastruktur PY - 2024 AN - OPUS4-61886 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Abad Andrade, Carlos Enrique T1 - The use of reference materials to improve the calibration strategy in glow discharge optical emission spectroscopy with machine learning N2 - Glow discharge optical emission spectroscopy (GD-OES) is a technique for the analysis of solids such as metals, semiconductors, and ceramics. A low-pressure glow discharge plasma is applied in this system, which ‘sputters’ and promotes the sample atoms to a higher energy state. When the atoms return to their ground state, they emit light with characteristic wavelengths, which a spectrometer can detect. Thus, GD-OES combines the advantages of ICP-OES with solid sampling techniques, which enables it to determine the bulk elemental composition and depth profiles. However, direct solid sampling methods such as glow-discharge spectroscopy require reference materials for calibration due to the strong matrix effect. Reference materials are essential when the accuracy and reliability of measurement results need to be guaranteed to generate confidence in the analysis. These materials are frequently used to determine measurement uncertainty, validate methods, suitability testing, and quality assurance. In addition, they guarantee that measurement results can be compared to recognized reference values. Unfortunately, the availability of certified reference materials suited to calibrate all elements in different matrix materials is limited. Therefore various calibration strategies and the preparation of traceable matrix-matched calibration standards will be discussed. Machine learning is an essential component of the growing field of data science. Through statistical methods, algorithms are trained to make classifications or predictions, uncovering key insights within data mining projects. Therefore, it was tried in our work to combine GD-OES with machine learning strategies to establish a new and robust calibration model, which can be used to identify the elemental composition and concentration of metals from a single spectrum. For this purpose, copper reference materials from different manufacturers, which contain various impurity elements, were investigated using GD-OES. The obtained spectra information are evaluated with different algorithms (e.g., gradient boosting and artificial neural networks), and the results are compared and discussed in detail. T2 - Winter Conference on Plasma Chemistry 2022 CY - Tucson, AZ, USA DA - 17.01.2022 KW - GDOES KW - Machine learning KW - Reference materials KW - Calibration KW - Cooper PY - 2022 AN - OPUS4-56497 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Monavari, Mehran A1 - Prellwitz, Matthias A1 - Koch, Claudia A1 - van de Kreeke, Johannes A1 - Melzer, Michael A1 - Richter, Silke T1 - The Digital Reference Material Document: From Paper Certificates to Interoperable Data Objects in Digital Quality Infrastructure N2 - Reference materials (RMs) are essential for traceable and reliable measurements in science and industry, yet their certificate/document remain largely paper-based. The Digital Reference Material Document (DRMD) project at BAM introduces a transformative approach by converting traditional RM certificates/documents into machine-interpretable, XML-based digital assets. Building on the Digital Calibration Certificate framework, DRMDs encode ISO 33401 requirements and integrate semantic standards like D-SI and material identifiers. These digital documents support automated data exchange, integration into laboratory systems, and interoperability e.g. via asset administration shells and data spaces. The paper presents the DRMD schema concept, and outlines the path toward international harmonization and large-scale deployment, positioning DRMDs as a cornerstone of a digital quality infrastructure. T2 - IMEKO TC-6 International Conference on Metrology and Digital Transformation - M4DConf 2025 DA - 03.09.2025 KW - Digital Reference Material Document KW - Quality Infrastructure KW - Reference Material Certificate KW - DRMD PY - 2025 UR - https://www.m4dconf.org/ UR - https://www.sciencedirect.com/journal/measurement-digitalization SP - 1 EP - 6 AN - OPUS4-64269 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Klaus, Christian A1 - Soruco Aloisio, Ricardo A1 - Koch, Claudia A1 - Prellwitz, Matthias T1 - Towards Safety and Accuracy of Hydrogen Refuelling Stations through Digital Twins N2 - This paper presents digital quality infrastructure methods for hydrogen refueling stations using the Asset Administration Shell as a standardized digital twin. Implemented at BAM’s test platform, it integrates real-time sensor data, calibration certificates, and compliance documents to support traceable, interoperable asset management. In combination with AI and semantic tools, the system will enable predictive maintenance, remote audits, and improved safety. This approach reduces downtime, enhances transparency, and offers a scalable model demonstrating the potential of digital twins in advancing metrological traceability and operational efficiency in hydrogen technologies. T2 - IMEKO TC-6 International Conference on Metrology and Digital Transformation - M4DConf 2025 CY - Benevento, Italy DA - 03.09.2025 KW - Datenintregration KW - IT KW - Verwaltungsschale KW - Infrastruktur KW - OT KW - Open Source KW - Software PY - 2025 UR - https://www.m4dconf.org/ UR - https://www.sciencedirect.com/journal/measurement-digitalization SP - 1 EP - 6 AN - OPUS4-64951 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -