News & Articles

Dialogue on Open Science and FAIR Data - Kenya

CODATA (CODATA President Prof Barend Mans & CODATA Executive Director Dr. Simon Hodson) on Monday 16 April 2019 had an excellent meeting with Kenya HE VP Williams Ruto and his team on #FAIRdata #OpenScience #OpenData #OpenGovernment

Read Prof. Muliaro: The advent of big data heralds huge opportunities

Congratulations all, and to Kenya, in making progress towards promoting Open Data, to benefit all!

Public Lecture: Openness in Data, Science and Governance

CODATA's Executive Committee member, Professor Muliaro Wafula will be giving a public lecture on 'Openness in Data, Science and Governance' at the Jomo Kenyatta University of Agriculture and Technology. CODATA's President, Barend Mons and CODATA's Executive Director, Simon Hodson will attend this event.

Location: Jomo Kenyatta University of Agriculture and Technology, ICT Centre of Excellence and Open Data-iCEOD.

Venue: Assembly Hall, JKUAT Main Campus

Time: 1.50 pm – 4.00 pm

Date: Monday, April 15th, 2019

Registration: Entry is free

Download the flyer



The CODATA 2019 Conference will be held on 19-20 September 2019 in Beijing, China. This year’s conference theme is: Towards next-generation data-driven science: policies, practices and platforms.  The conference will follow a high-level workshop, 17-18 September 2019, on ‘Implementing Open Research Data Policy and Practice’ that will examine such challenges in China and elsewhere in the light of the emergence of data policies and in particular the China State Council’s Notice on ‘Measures for Managing Scientific Data’.

CODATA 2019: Towards next-generation data-driven sciencepolicies, practices and platforms

Science globally is being transformed by new digital technologies.  At the same time addressing the major global challenges of the age requires the analysis of vast quantities of heterogeneous data from multiple sources.  In response, many countries, regions and scientific domains have developed Research Infrastructures to assist with the management, stewardship and analysis.  These developments have been stimulated by Open Science policies and practices, both those developed by funders and those that have emerged from communities.  The FAIR principles and supporting practices seek to accelerate this process and unlock the potential of analysis at scale with machines.  This conference provides a significant opportunity to survey and examine these developments from a global perspective.

The convening organisations are pleased to invite you to contribute to the program by proposing sessions.  The deadline for session proposals is 29 April 2019:

All proposals related to open science and open data, FAIR data, research data management and stewardship, research infrastructures and platforms are welcomed. The following themes are of particular interest:

1. FAIR and Open data policies

  • Open data policies, their implications and implementation
  • FAIR data, its challenges and opportunities
  • Incentives and metrics for data and research contribution
  • Trustworthiness and sustainability for FAIR data, research infrastructures, data repositories
  • Co-operation in research data policies and management at international, national and institutional levels
  • Data policies towards the next-generation open science community 

2. Advanced research infrastructures for Open Science and FAIR data

  • Opportunities and challenges in research infrastructures.
  • Disciplinary technical infrastructure for research data management and data stewardship.
  • The development of Open Science Clouds, Platforms and Commons: a new model for coordination?
  • Successes and models for different aspects of the research data management and stewardship infrastructure
  • Institutional research data management and stewardship status, models and challenges.
  • Data management technologies and interoperability between human and technical processes.
  • Data science education and training.
  • Business models for Open Science, FAIR data, research infrastructures and data stewardship.
  • Key data specifications, RDM protocols and research infrastructures
  • Other technologies and standards feature open data issues. 

3. Data driven scientific discovery and decision-making.

  • Case studies and exploration of science discoveries based on data-driven research
  • Data-driven decision-making, from data to evidence
  • Disciplinary data applications
  • Data success stories 

4. Data intensive research for international scientific and global challenges

  • FAIR data, interoperability and data integration in multi-disciplinary research areas.
  • Data-driven practices in support of the United Nation’s sustainable development goals.
  • Data-driven practices in support of Sendai and disaster risk reduction
  • Data-driven practices in support of Resilient Cities; biodiversity; climate change adaptation; agriculture; hydrology and other research areas.


  • Sessions: Sessions will be 90 minutes.  Two session formats are suggested: 1) papers sessions which may include research papers, practice papers or a mixture of these; 2) lightning talks followed by a structured panel discussion.  Paper presentations should be a minimum of 15 minutes; papers sessions should include a maximum of 4-5 papers.
  • Keynote speakers: there will be keynote sessions on the morning of each day. 
  • Plenary panel discussion: the conference will close with a Plenary Panel discussion featuring short presentations.
  • Poster session: there will be a poster session on the later afternoon of the first day. 

Important dates:

1 February: Call for Session Proposals Released

22 April: Registration Open

29 April: Deadline for session proposals

13 May: Accepted session proposals notified; call for presentations and posters released

17 June: Deadline for presentation submissions and first round of poster submissions

8 July: Submitters notified of acceptances of full presentations and posters

1 August: Close of second round of poster submissions

18 August: Close of early bird registration

17-18 September: High Level Workshop on 'Implementing Open Research Data Policy and Practice’

19-20 September: CODATA 2019 Conference ‘Towards next-generation data-driven science: policies, practices and platforms’


  • Convenors: CODATA, CODATA China
  • Supporter: Minister of Science and Technology (MOST), Chinese Academy of Sciences (CAS), NSFC
  • Local organiser: Computer Network Information Center, CAS; National S&T Infrastructure Center, MOST 

Possible venue (TBC): the Friendship Hotel of Beijing.

The Friendship Hotel of Beijing is one of the largest garden-style hotels in Asia. Located in the heart of ZhongGuanCun Hi-Tech Zone, the Friendship Hotel neighbours many world famous tourist sites and universities such as Tsinghua and Peking University, the Summer Palace.

Address: Zhongguancun South St. Beijing 100873, P.R. China


Tracking the impact of the CODATA/RDA data science schools: the case of the OSG

The CODATA-RDA Research Data Science Schools provide Early Career Researchers with the opportunity to meet their colleagues and learn relevant Data Science skills. We actively encourage students to use their learning as an opportunity to create new collaborations and generate new research.

One spectacularly successful example of this is Oscar Arbelaez Echeverry from Colombia who, through links made at the schools, enabled approximately 1.2 million CPU hours [this is akin to having access to a 1600 core cluster for a month] to be run on Monte Carlo simulations. As a result of accessing the Open Science Grid resource, six publications [1-7] have been generated by his supervisor, in the best journals in the field and for wider audiences. By providing Oscar with the relevant skills, he has been instrumental to advancing research in his home institution.

Read the full blog here.

Deadline for Applications for the 2019 Foundation School and Advanced Workshops is approaching: 18 April 2019

Disaster Risk Reduction and Open Data Newsletter: April 2019 Edition

England could run short of water within 25 years Sir James Bevan, the Chief Executive of the Environment Agency, recently shared these sentiments at the Waterwise conference in London.

Philippines: EU Copernicus programme provides full, free open data to aid in tackling El Niño The drought that is currently sweeping the country as a result of El Niño is already hitting Filipino farmers hard.

Protecting the world from the threat of pandemics Creating mathematical and computational models of infectious diseases like pandemic flu gives government and policy-makers a toolkit to respond to an ever-present threat, says the University of Melbourne.

Read the full newsletter here

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