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Eurachem Workshop: Data – Quality, Analysis and Integrity

687 Dub Castle chpl 120Eurachem Ireland and the Eurachem Education & Training Working Group held the Eurachem 2018 scientific workshop “Data – Analysis, Quality and Integrity”, which in May 14th and 15th 2018.

Quick links:

Workshop information

Date: 14th - 15th May 2018
Venue: Dublin castle, Dublin, Ireland
Website: http://eurachem2018.com/
First circular: Download the first circular (pdf, 1.5Mb)
Second circular Download the second circular (pdf, 1.2Mb)
Abstracts and conference details Complete book of Abstracts and Conference information (pdf 5.7Mb)

Workshop aims and topics

Aims

  • Understand the importance of scientific data integrity and how to achieve it
  • Understand risks and opportunities related to data
  • Discuss future challenges in data quality, analysis, integrity and compliance
  • Discuss the impact of new developments on data quality, analysis, integrity and security

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Topics

Topics covered during the workshop included:

Current Practices

Future Challenges

  • International guidance
  • Extent of validation/verification studies
  • Analysis of validation data
  • Examples of best practices in different fields
  • Analysis of meta-data
  • Data management systems
  • Operation of advanced instrumentation
  • Accreditation requirements
  • Future developments – Accreditation Body viewpoint
  • Compliance assessment
  • Risk based approaches to quality
  • Validation of multiparameter methods
  • Implementing principles of Quality by Design (QbD)
  • Human errors
  • Machine learning algorithms, including artificial neural networks

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Programme

Available presentations can be downloaded below.

Day 1 – Monday May 14th

Theme “Current best practice/Where are we now?”


Introductory session

(Re)introduction to statistics: dusting off the cobwebs
Aoife Morrin, Insight Centre, DCU, Ireland and Vicki Barwick, LGC, UK
Ita Kinahan, The State Laboratory, Ireland

Session 1: Data Quality

Chaired by: Helen Cantwell
Can we quantify the quality of the data?
Stefano Cappe, Data Management Team Leader, DATA Unit, European Food Safety, Italy
Setting data requirements
Ricardo Bettencourt da Silva, FCUL-University of Lisbon
Traceability, validation and measurement uncertainty – 3 pillars for quality of measurement results
David Milde, Palacky University, Czech Republic

Session 2: Data Analysis

Chaired by: Hugh Fay
Valid machine learning algorithms for multiparameter methods
Bertrand Colson, QuoData, Germany
Importance of sampling step to interpret analytical results in food safety analysis
Perihan Yolci Omeroglu, Uludag University, Turkey
Applications of robust estimators of covariance in examination of inter-laboratory study data
Stephen Ellison, LGC, UK

Session 3: Data Integrity

Chaired by: Seán Hyland
Requirements of the accreditation standards
Kyriacos C. Tsimillis, Division of Quality Assurance, Pancyprian Union of Chemists, Cyprus
A process for assessment of forensic data integrity
Janine Arvizu, United States
Data integrity in CDS
Freek Varossieau, Senior Product Specialist, Lab Informatics at Agilent Technologies
Validation steps for Point-of-Care (POC) diagnostic device: from prototype to market
Laura Gonzales-Macia, Osasen Sensores SL, Spain
Flash Presentations
Poster presenters
Poster and Networking Session

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Day 2 – Tuesday May 15th

Theme “Risks and emerging challenges/Where to go from here?”

Session 1: Data Quality

Chaired by: Ted McGowan
Revised internal QC Guidance from NORDTEST
Bertil Magnusson, RISE (Research Institute of Sweden) and Trollboken AB
A correlation of the physical attributes of a potent anti-onychomycotic dosage form with microbiological performance
Dinesh Kapu, Athlone Institute of Technology, Ireland
Session 2: Data Analysis Chaired by: Patrice Behan
Multivariate analysis (chemometrics) – quality of multivariate calibration
Wolfhard Wegscheider, University of Leoben, General and Analytical Chemistry, Austria
Assessing the relationship between honey chemistry and landscape composition
Saorla Kavanagh, Dublin City University, Ireland

Session 3: Data Integrity

Chaired by: Colmán Ó Ríordáin
Risks of a false decision on conformity of a multicomponent material and quality of chemical analytical results
Ilya Kuselman, Independent Consultant on Metrology, Israel
Fake data-rationale, detection and implications
Alessandra Rachetti, Montanuniversität Loeben, Austria

Session 4: Breakout Sessions

Parallel Breakout Sessions
Feedback from Breakout Sessions

Session 5: Closing Session

Future challenges for data: interpretation application, communication
Ruth Morgan, UCL, UK
Closing Address

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