[CODATA-international] Workshop on Improving Reproducibility in Research: The Role of Measurement Science

Asha CODATA asha at codata.org
Mon Mar 12 12:46:59 EDT 2018


 Date:01 May 2018 - 03 May 2018Description:

We live in a world in which it is increasingly easy to collect enormous
amounts of data, in which research frequently spans physical, chemical, and
biological sciences. Despite these advances, many scientific research
results in recent years have proven to be difficult to reproduce.

The goal of this workshop is to bring together experts from the measurement
and wider research communities to understand the issues and to explore how
good measurement practice and principles can foster confidence in research
findings, including how we can tackle the challenge posed by increasing
data volumes in both industry and research. It is important to recognise
that there is no process that can entirely eliminate measurement
uncertainty, but a good measurement process can lead to an appropriate
interpretation of the data. Collecting and reporting the control
experiments and systems and the details of and computational process will
add confidence to results, improve the efficiency of follow-up studies, and
establish a more reasonable basis for conclusions. Such practices can also
add to our knowledge in ways that simply reproducing an experiment cannot.

The international network of National Metrology Institutes (NMIs),
coordinated by the International Bureau of Weights and Measures (Bureau
International des Poids et Measures, BIPM), develops novel measurement
methods, conducts cross-validation studies, and provides expertise in
experiment design and uncertainty analysis and characterisation. By
bringing together practitioners from the metrology community with
discipline scientists and representatives of scholarly publishers, we hope
to establish better awareness and adoption of best practices in measurement.

The workshop organisers intend to produce a report describing the actions
the network of NMIs might take moving forward. In this way, we may mitigate
the 'reproducibility crisis' and increase confidence in evidence-based
decision-making.

Invited speakers:

   - *Sir Mark Walport*, Chief Executive UKRI, (UK)
   - *Barend Mons*, Leiden University Medical Center/GO FAIR (NL)
   - *Geoffrey Boulton*, University of Edinburgh/CODATA (UK)
   - *Tony Hey*, Science and Technology Facilities Council (UK)
   - *Natalie de Souza*, Nature Methods (US)
   - *Owen Sansom*, Cancer Research UK Beatson Institute, (UK)
   - *Martin Milton*, Bureau International des Poids et Mesures (FR)
   - *Antonio Possolo*, National Institute of Standards and Technology (US)
   - *Leslie McIntosh Borelli*, Rensselaer Polytechnic Institute/Research
   Data Alliance (US)

Download workshop flyer <http://www.npl.co.uk/content/ConMediaFile/11444>
Venue:

NPL, Teddington <http://www.npl.co.uk/contact-us/location/>
Cost:

Free to attend, but registration is essential
Registration:

Register online
<https://www.regonline.co.uk/registration/login.aspx?eventID=2202264>
Contact:

Technical: Ian Gilmore <ian.gilmore at npl.co.uk>

Admin/registration: events at npl.co.uk


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Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
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