Meet QuoData at EQALM 2024 in Vienna!
Meet QuoData at EQALM 2024 in Vienna!
QuoData is excited to to contribute to 2024 EQALM Symposium and General Assembly, which will be held in Vienna, Austria, from October 16th to 18th. As an annual gathering of professionals in external quality assessment (EQA) across Europe, the EQALM symposium brings together key players to collaborate and share insights about laboratory medicine. The symposium is supported by IFCC (International Federation of Clinical Chemistry).
Successful Free Web-Seminar on QuoData's Tool-Suite µKPI for Microbiological Method KPIs (Key Performance Indicators)
Successful Free Web-Seminar on QuoData's Tool-Suite µKPI for Microbiological Method KPIs (Key Performance Indicators)
QuoData Collaborates with the Association of Friends and Sponsors of TU Dresden (GFF)
As of the beginning of 2024, QuoData has proudly become a member of the Association of Friends and Sponsors of TU Dresden (GFF). The Association of Friends and Sponsors of TU Dresden is dedicated to advancing teaching and research at TU Dresden, bolstering the university's reputation, and enhancing its connections with research and industry partners.
Qualitative and Quantitative Schemes with Cequator's Standardized Templates
Qualitative and Quantitative Schemes with Cequator's Standardized Templates
Cequator is a powerful software tool that simplifies the reporting process for both qualitative and quantitative EQA schemes. By providing standardized templates aligned with best practices, Cequator ensures consistency and clarity in reporting across diverse EQA schemes allowing EQA providers to gain deeper insights into the performance of participating laboratories.
QuoData Joins the Weltoffenes Sachsen Initiative
As an international company, QuoData is committed to creating an open, inclusive, and integrated working environment for all employees. Since 2024, QuoData has proudly become a part of the Wirtschaft für ein Weltoffenes Sachsen (Welcome Saxony).
KI MOD PEM for quality control in PEM fuel cell technology
QuoData is pleased to be part of the KI MOD PEM project (AI-based modular mapping of the PEMFC-MEA manufacturing process for quality control of intermediate and end products). This project is supported by the Central Innovation Program for SMEs (ZIM), a nationwide, technology- and industry-open funding program. KI MOD PEM has a duration of 2.5 years and runs until April 30, 2026.
Call for Participation: Collaborative Study on the Characterization of Soil Invertebrate Communities Using DNA Metabarcoding
Overview and Aim of the Study
QuoData is excited to announce the collaborative study on the characterization of soil invertebrate communities using DNA metabarcoding.
This study aims to validate genetic methods for soil invertebrate community characterization, focusing on DNA extraction and metabarcoding PCRs. These methods will be used for soil quality assessment. The validated methods will be submitted to ISO for preparation of new ISO standards.
Interlaboratory Trial 2024: Advancing Hormonal Activity Detection in Water Samples
An exciting opportunity for laboratories as the 2024 Interlaboratory Study for effect-based in vitro methods to detect hormonal activity in aqueous samples is set to launch this autumn. We invite you to participate in this study to enhance your laboratory's performance. Let's take a brief look at the first interlaboratory trial organized in 2021.
Interlaboratory Trial 2021:
Fostering dialog - QuoData Welcomes New DAAD Interns!
Fostering dialog - QuoData Welcomes New DAAD Interns!
QuoData warmly welcomes the new DAAD interns! This year, QuoData is delighted to have three interns supported by DAAD (German Academic Exchange Services) RISE program join the team.
ISO standards and their stories - The Untold History of Algorithm A
The Untold History of Algorithm A
Bertrand Colson
QuoData, Germany
I recently faced the problem of trying to understand why different people applying the same algorithm to the same data obtained different results, even though everyone was apparently applying the algorithm correctly.