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Message from Geoffrey Boulton, CODATA President 2014-2018

Message from Geoffrey Boulton, CODATA President 2014-2018 Friends and colleagues, I am honoured to follow Professor Guo Huadong as President of CODATA. He led CODATA at an important time, when the awareness of the new possibilities and new challenges of the data...

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Geoffrey Boulton Articles and Presentations

Geoffrey Boulton Articles and Presentations The Digital Revolution and the Future of Science: Jisc Futures Article, July 2017 Information and knowledge have always been essential drivers of social progress, and the technologies through which knowledge is acquired,...

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Message from Huadong Guo, CODATA President 2010-2014

Message from Huadong Guo, CODATA President 2010-2014 Dear Friends, It is indeed an honour for me to assume the mantle of Dr. Krishan Lal as President of CODATA. I first submitted a paper to the CODATA conference in 1988, but I first became formally involved in CODATA...

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CODATA Constitution

December 2020 The CODATA Constitution is the set of statues and by-laws that govern the structure and work of CODATA.  It is regularly reviewed and updated to ensure it is fit for purpose.  The current version of the CODATA Constitution was approved by the CODATA...

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About CODATA

CODATA is the Committee on Data of the International Science Council (ISC).  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...

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CODATA’s Mission

CODATA’s vision is of a world in which science is empowered to address universal challenges through the transparent, trustworthy and equitable use of data and information. CODATA’s mission is to connect data and people to advance science and improve our world. The...

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November 2019: Publications in the Data Science Journal

  Title: Reviving an Old and Valuable Collection of Microscope Slides Through the Use of Citizen Science Author: John Pring, Lesley Wyborn, Neal Evans URL: http://doi.org/10.5334/dsj-2019-057   Title: Efficient Stratified Sampling Graphing Method for Mass Data...

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