Scientific Workshop Programme

Data – quality, analysis & integrity workshop

The workshop will be directly relevant to everyone working in state, semi-state and private organisations across a wide range of sectors including pharmaceutical, environmental, food, clinical, forensics and academia.


  • 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

The workshop will run over two days, Monday and Tuesday, 14th and 15th May 2018.

Day 1 – Monday May 14th

Theme “Current best practice/Where are we now?”
9:00 – 10:00 (Re)introduction to statistics: dusting off the cobwebs
8:30 – 10:15 Registration
10:15 – 10:30 Welcome and Opening Address
Session 1: Data quality
10:30 – 12:00 Stefano Cappe, Data Management Team Leader, DATA Unit, European Food Safety: ‘Can we quantify the quality of data?

Additional topics for this session include:

  • Design of experiments
  • Quantitative and qualitative data
12:00 – 13:00 Lunch
Session 2: Data Analysis
13:00 – 14:30 Topics for this session include:
  • Sampling – information on sampling to allow correct analysis/interpretation
  • Importance of meta-data (additional info on parameters needed to interpret data, e.g. quality of sampling protocol)
14:30 – 15:00 Coffee
Session 3: Data Integrity
15:00 – 16:45 Kyriacos C. Tsimillis, Division of Quality Assurance, Pancyprian Union of Chemists: ‘Requirements of the accreditation standards’

Additional topics for this session include:

  • What is data integrity and why is it important
  • Data management systems (including contemporaneous, hard copy issues)
  • Operation of advanced instrumentation (input/output)
  • Ensuring correct operation of software
17:00 – 19:00 Wine Reception and Poster Session
19:30 Conference Dinner

Day 2 – Tuesday May 15th

Theme “Risks and emerging challenges/Where to go from here?”
Session 1: Data Quality
9:30 – 10:30 Bertil Magnusson, RISE (Research Institute of Sweden) and Trollboken AB: ‘revised internal QC from NORDTEST’

Additional topics for this session include:

  • Risk based approach to quality
  • 3 ‘pillars’ – method validation, measurement uncertainty, traceability
  • ‘Out of specification(OOS)’ data – investigation
10:30 – 11:00 Coffee
Session 2: Data Analysis
11:00 – 12:00 Wolfhard Wegscheider, University of Leoben, General and Analytical Chemistry, Austria: Multivariate analysis (chemometrics) – quality of multivariate calibration’

Additional topics for this session include:

  • Compliance assessment
  • Communication of data/information to client
12:00 – 13:00 Lunch
Session 3: Data Integrity
13:00 – 14:00 Ilya Kuselman, Independent Consultant on Metrology: ‘Risks of a false decision on conformity of a multicomponent material and quality of chemical analytical results’

Additional topics for this session include:

  • Quality control – a tool for ensuring integrity
  • Ensuring correct operation of software
  • Spotting ‘rogue’ data – tampering & fabrication
  • Legal/regulatory requirements
  • Artificial neural networks and other machine learning algorithms
 Session 4: Breakout Sessions
14:00 – 15:30 Parallel Breakout Sessions
15:30 – 16:00 Coffee
16.00 – 16.30 Feedback from Breakout Sessions
 16:30 – 16:45  Closing Address