Zitieren Sie bitte immer diesen URN: urn:nbn:de:kobv:b43-591851
eCerto—versatile software for interlaboratory data evaluation and documentation during reference material production
- The statistical tool eCerto was developed for the evaluation of measurement data to assign property values and associated uncertainties of reference materials. The analysis is based on collaborative studies of expert laboratories and was implemented using the R software environment. Emphasis was put on comparability of eCerto with SoftCRM, a statistical tool based on the certification strategy of the former Community Bureau of Reference. Additionally, special attention was directed towards easy usability from data collection through processing, archiving, and reporting. While the effects of outlier removal can be flexibly explored, eCerto always retains the original data set and any manipulation such as outlier removal is (graphically and tabularly) documented adequately in the report. As a major reference materials producer, the Bundesanstalt für Materialforschung und -prüfung (BAM) developed and will maintain a tool to meet the needs of modern data processing, documentationThe statistical tool eCerto was developed for the evaluation of measurement data to assign property values and associated uncertainties of reference materials. The analysis is based on collaborative studies of expert laboratories and was implemented using the R software environment. Emphasis was put on comparability of eCerto with SoftCRM, a statistical tool based on the certification strategy of the former Community Bureau of Reference. Additionally, special attention was directed towards easy usability from data collection through processing, archiving, and reporting. While the effects of outlier removal can be flexibly explored, eCerto always retains the original data set and any manipulation such as outlier removal is (graphically and tabularly) documented adequately in the report. As a major reference materials producer, the Bundesanstalt für Materialforschung und -prüfung (BAM) developed and will maintain a tool to meet the needs of modern data processing, documentation requirements, and emerging fields of RM activity. The main features of eCerto are discussed using previously certified reference materials.…
Autor*innen: | Jan LisecORCiD, Sebastian RecknagelORCiD, Carsten PrinzORCiD, Kristin VogelORCiD, Matthias Koch, Roland BeckerORCiD |
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Dokumenttyp: | Zeitschriftenartikel |
Veröffentlichungsform: | Verlagsliteratur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | Analytical and Bioanalytical Chemistry |
Jahr der Erstveröffentlichung: | 2023 |
Organisationseinheit der BAM: | 1 Analytische Chemie; Referenzmaterialien |
1 Analytische Chemie; Referenzmaterialien / 1.6 Anorganische Referenzmaterialien | |
1 Analytische Chemie; Referenzmaterialien / 1.7 Organische Spuren- und Lebensmittelanalytik | |
6 Materialchemie | |
6 Materialchemie / 6.3 Strukturanalytik | |
VP Vizepräsident | |
VP Vizepräsident / VP.1 eScience | |
Veröffentlichende Institution: | Bundesanstalt für Materialforschung und -prüfung (BAM) |
Verlag: | Springer Science and Business Media LLC |
Erste Seite: | 1 |
Letzte Seite: | 9 |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | Collaborative trial; Reference material; Software; Statistics |
Themenfelder/Aktivitätsfelder der BAM: | Chemie und Prozesstechnik |
DOI: | 10.1007/s00216-023-05099-3 |
URN: | urn:nbn:de:kobv:b43-591851 |
Verfügbarkeit des Dokuments: | Datei für die Öffentlichkeit verfügbar ("Open Access") |
Lizenz (Deutsch): | Creative Commons - CC BY - Namensnennung 4.0 International |
Datum der Freischaltung: | 20.12.2023 |
Referierte Publikation: | Ja |
Datum der Eintragung als referierte Publikation: | 27.12.2023 |
Schriftenreihen ohne Nummerierung: | Wissenschaftliche Artikel der BAM |