The Beijing Declaration on Research Data

Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now.

Towards next-generation data-driven science: policies, practices and platforms

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’.

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.”

Developing Open Data policies | FOSTER

Describes what an Open Data policy covers; discusses the content of a model Open Data policy; gives a practical checklist for developing an Open Data policy; discusses what makes an Open Data policy effective; and analyses existing policies of funders and links to examples.

African Open Science Platform

“The Science International Accord on ‘Open Data in a Big Data World’ presents an inclusive vision of the need for and the benefits of Open Data for science internationally, and in particular for Lower and Middle Income Countries. A major outcome is the African Open Science Platform initiative, supported by the South African Department of Science and Technology, directed by CODATA and implemented by ASSAf.

The development of an open science and innovation platform depends not only on the physical infrastructure for acquiring, curating and disseminating data and information, but also on protocols, policies and procedures in the science system that provide the structure and support to ensure that science objectives are achieved….”