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Save the date! IDCC19, 4-7 February, Melbourne

The IDCC conference is going down under and it's going to be hot, hot hot!
From the 4th to 7th February 2019, Donna McRostie, Anna Shadbolt, Peter Neish and the wonderful team at the University of Melbourne will be hosting the 14th International Digital Curation Conference (IDCC). Save the date now - this is not one to miss!
Melbourne in February is going to be hot! Hot on the heels of the Australian Open (reason to extend travel with some Winter vacation?) you can expect temperatures of 27-30+ degrees. Pack well and remember to slip, slop slap! 
We have one piping hot programme shaping up, with a great call for papers, dinner venue and set of keynotes in mind. Melbourne have asked for a cracking overarching theme, which builds on momentum from IDCC18 and speaks to concerns relevant to so much of our work as the sector matures.
And I have a hunch we will have a very hot, dynamic and diverse audience. Get ready to start pulling together your ideas as the call for papers will be out very soon. A wee Easter treat is on it's way...

Call for Nominations for CODATA Officers (President and Vice-President(s)) and Executive Committee Members: Deadline 27 April 2018

Please note that the dates for the Election process below have been changed, in accordance with the CODATA Constitution and reflecting the changed dates of the CODATA General Assembly.  The deadline for the first round of nominations is now Friday 27 April 2018

Call for Nominations for CODATA Officers (President and Vice-President(s)) and Executive Committee Members: Deadline 27 April 2018

Help CODATA deliver on its strategy to mobilise the data revolution for research!

CODATA Members (National, Union, Co-Opted and Affiliate Members) as well as Task Groups are invited to nominate candidates for the following positions:

  • President (to serve 2018-22)
  • Vice-President (1-2 positions, to serve 2018-22)
  • Ordinary Member (8 positions, to serve 2018-20)

Nominations will be considered for election at the 31st CODATA General Assembly, which will take place on 9-10 November 2018 in Gaborone, Botswana, following International Data Week 2018.

Please find attached a letter from CODATA Past President, Professor GUO Huadong, inviting nominations.

Nominations should be submitted by CODATA Members and Task Groups on the form attached, to the Nominating Committee, c/o, by the deadline of 27 April 2018.

The most important criteria for nomination is to be able to contribute strongly to the delivery of CODATA’s strategy and strong record of delivery as attested in the CODATA Prospectus of Strategy and Achievement 2015-2017. The covering note to the nomination form and the procedure document explain terms of eligibility.



CODATA exists to promote global collaboration to improve the availability and usability of data for all areas of research. CODATA supports the principle that data produced by research and susceptible to be used for research should be as open as possible a

nd as closed as necessary. CODATA works also to advance the interoperability and the usability of such data: research data should be intelligently open or FAIR. By promoting the policy, technological and cultural changes that are essential to make research data more widely available and more usable, CODATA helps advance ICSU’s mission of strengthening international science for the benefit of society.

The updated CODATA Strategic Plan 2015 and Prospectus of Strategy and Achievement 2015-2017 identify three priority areas:

  1. promoting principles, policies and practices for Open Data and Open Science;
  2. advancing the frontiers of data science;
  3. building capacity for Open Science by improving data skills and the functions of national science systems needed to support open data.

CODATA achieves these objectives through a number of standing committees and strategic executive led initiatives, and through its Task Groups and Working Groups. CODATA supports the Data Science Journal and collaborates on major data conferences like SciDataCon and International Data Week.



Timescales back from 2018 General Assembly, Gaborone, Botswana

General Assembly

9-10 November 2018

Deadline for Final Slate

5 October 2018

Deadline for Additional Candidates

28 September 2018

Deadline for Provisional List

11 May 2018

Deadline for nominations

27 April 2018

Call for nominations

26 October 2017

Workshop Applying bioinformatics and data science competency frameworks to ELIXIR Training, 5-6 April 2018, Amsterdam

Date: 5-6 April 2018 (preceded by an optional seminar on April 4)

Venue: Amsterdam Science Park Congress Centre, Science Park 123, 1098 XG Amsterdam

Website & registration: Eventbrite page

Full Programme:

Organizers: Celia van Gelder (DTL/ELIXIR-Netherlands), Gabriella Rustici (University of Cambridge, ELIXIR-UK), Vera Matser (BioExcel), Allegra Via (ELIXIR-Italy)


Much work is currently being done in developing and applying competency frameworks, both in bioinformatics and in data science. 

In the context of ELIXIR Training, we aim to build on the existing expertise in this area and, together with the training stakeholders, to derive a proper implementation strategy.
This international workshop will bring together individuals from organisations and projects who have expertise in defining and in applying competency bioinformatics and data science frameworks in their own organisations. 

In a series of interactive sessions, we will build on the existing knowledge and work towards the following workshop goals:

  • Identify competency frameworks that are relevant to the ELIXIR user community and learn about successful implementation examples of these frameworks
  • Further define the relevant “personas” we are targeting with (ELIXIR) training
  • Extract from the existing work a set of core competencies and sets of KSAs (knowledge, skills and abilities) that can subsequently be used:
    • to map courses in TeSS, the ELIXIR Training Portal
    • to build a curriculum for a one-week Advanced Bioinformatics Workshop (which will be part of the CODATA RDA Research Data Science Summer school series)
    • to set the first steps towards defining routes through a specific set of courses (learning paths)

Target audience
Individuals working in training and education who are interested in learning the state of the art about bioinformatics and data science competency frameworks and their application to date.

More information?
Please contact Celia van Gelder ( if you need more information.

Improving Reproducibility in Research: The Role of Measurement Science

Venue: National Physical Laboratory, Hampton Road, Teddington, Middlesex, TW11 0LW

Date: 01 May 2018 - 03 May 2018

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 Adobe Acrobat PDF file

Cost: Free to attend, but registration is essential
Registration: Register online
Contact: Technical: Ian Gilmore, Admin/registration:

CODATA will play a major role in the GO TRAIN Implementation Network

Reproduced from the GO FAIR website 


On 26 January 2018, more than 20 people attended the GO TRAIN kick-off meeting in Leiden (the Netherlands). GO TRAIN is one of three GO FAIR pillars. Hugh Shanahan (Royal Holloway, University of London): “We used the meeting to discuss how to instigate a concerted action of global FAIR data training providers.”

Barend Mons (GO FAIR International Support and Coordination Office, GFISCO): “The High Level Expert Group report on the EOSC mentions an urgent need to educate and equip up to 500,000 data stewards in Europe. The​ ​GO TRAIN​ ​pillar will train individuals that will make the best use of FAIR data and services as well as data stewards that are capable of providing those services. The GFISCO will support and coordinate the GO TRAIN pillar. The guiding principles of GO TRAIN were already drafted at a stakeholder workshop, convened by CODATA in Paris on​ ​3​ ​February​ ​2017″​ (read the workshop report).

The January 2018 meeting was entitled ‘Realising GO TRAIN – a concerted action by global data training providers’ and it aimed to establish the scope, specific goals, and foreseen activities of GO TRAIN. In addition, it aimed to define the next steps towards realising one or more formal GO TRAIN Implementation Networks (INs). GO FAIR INs are consortia of individuals, institutions, projects, and international organisations who have decided to jointly implement the FAIR principles in their fields towards the goals of GO FAIR.

The meeting was organised by Hugh Shanahan, Simon Hodson (CODATA), Celia van Gelder (DTL/ELIXIR-NL), and Mascha Jansen (GO FAIR). The meeting featured presentations by Barend Mons (GO FAIR) about the progress of GO FAIR, Hugh Shanahan about the management structure of GO TRAIN, Erik Schultes (GO FAIR) about current FAIR training activities, and Albert Mons (Euretos) about Other People’s Existing Data and Services (OPEDAS Implementation Network). Participants included a.o. representatives of CODATA-RDA Data Schools, DANS, DCC, EDISON, ELIXIR, DTL, and Foster.

Van Gelder: “During a number of break-out sessions, we discussed the overall scope and specific goals of GO TRAIN. In addition, we dedicated some sessions to the future activities of the GO TRAIN Implementation Networks. We discussed what a GO TRAIN IN can and should do to advance training-the-trainer events. And we also talked about an IN’s possible role in the certification or endorsement of training materials and activities.”

In the closing session of the day, the participants discussed concrete steps towards the implementation of GO TRAIN. “A number of key decisions were made, in particular the details on GO TRAIN’s three main goals, i.e., developing an appropriate curriculum framework, approaches for endorsing developed materials and organisations teaching the materials, and developing a train-the-trainer programme,” concludes Shanahan.

GO FAIR (Global Open FAIR) is a self-governed, community-driven initiative to accelerate the early development of the Internet of FAIR Data and Services. GO FAIR originated in Europe, inspired by the European Commission’s High Level Expert Group on the European Science Cloud (EOSC). GO FAIR will be implemented by three pillars: GO CHANGE, GO BUILD, and GO TRAIN. GO CHANGE aims to instigate cultural change to make the FAIR principles a working standard in science and to reform reward systems to incorporate open science activities; GO BUILD deals with building the technical infrastructure; and GO TRAIN which will provide the training and in the future the mechanism for the standards-compliant certification.

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