A Big Data Statement announced

The Statement recognises that Big Data ‘present particularly significant challenges and notable opportunities for transdisciplinary, international research programmes’ as well as for scientific data services and infrastructure providers. It makes a series of recommendations for the sponsors of international research programmes in order to help such programmes take better advantage of the Big Data age:

  • Respond to the importance of Big Data for international scientific programmes

  • Exploit the benefits of Big Data for society

  • Improve understanding of Big Data through international collaboration

  • Promote universal access to Big Data through global research infrastructures

  • Explore and address the challenges of Big Data stewardship

  • Encourage capacity building and skills development in Big Data science

  • Foster development of policies to maximise exploitation of Big Data

Convened by CODATA and co-sponsored by a number of important international organisations, the International Workshop on Big Data for International Scientific Programmes took place on 8-9 June in Beijing, aiming to shed light on the potential role of Big Data in such international and interdisciplinary research activities. As a first, practical step towards focusing attention on the potential of Big Data for international scientific programmes, the workshop participants and sponsoring organisations, have agreed and published a Statement of Recommendations and Actions (http://codata.org/blog/wp-content/uploads/2014/06/CODATA-Big-Data-Worksh...).

The workshop was co-sponsered by a number of international organisations with an interest in data stewardship ( ICSU World Data System ),data interoperability ( Research Data Alliance ), data sharing and reuse ( Group on Earth Observation ) as well as international collaborations involved ininterdisciplinary research ( Future Earth, IRDR and International Society for Digital Earth ), as well as the hosts the Institute of Remote Sensing and Digital Earth of the Chinese Academy of Sciences.

Source: http://codata.org/blog/2014/06/16/big-data-for-international-scientific-...