Brief substantive summary of the workshop and presentation of the main issues that were raised during the discussions
On the afternoon 4th September 2014, Workshop #70 of 9th IGF is held in workshop room 8 in Lütfi Kırdar Convention and Exhibition Center. Mr.Gao Xinmin, Vice Chairman of the China Internet Society announced to start the workshop at 16:30, and he gave a brief introduction on understanding of big data and open access as opening.
As an emerging technology, Big data not only means big data volume, diverse data type and varied data, as well as big number of people. Open data of big data era is one of critical and the most important issues of internet governance for both industry and developing countries. The workshop hosted by Consultive Committee of the United Nations Information Technology (CCIT) under the China Association for Science and Technology(CAST) mainly focus on the policy discussions to promote open data in the Big Data age.
Mrs. Ana Neves, first talked deeply about the meaning of Big Data age and its implications. She also analyzed the benefits of scientific open data, cross cutting obstacles and barriers for open data, Policy at Science Europe and case study of Portugal.
Mr. Xiang Zhou, Deputy Director of Department of Science and Techonology, Institute of Remote Sensing and Digital Earth, introduced data in cyberspace and definition of data science, the characteristics of Research big data and challenges and opportunities for scientific data sharing.
Mrs. Svetlana Maltseva, Dean of , Russia described the Big Data implementation in different aspects, introduced applications of Big Data in economy and education. She emphasized the importance of Big Data analytics skills and tools according to the special features of big data.
Mrs. Chuang Liu, Secretary of CODATA Task Group of Preservation of and Open Accee to S&T Data in Developing Countries, Editor-in-Chief of Global Change Research Data in Developing Countries, presented the activities and progress of CODATA in developing countries. Analyzed the critical issues on public funded data sharing. After showing cases best practices, such as the Digital LIN Chao Geo-museum and global change research data publishing and repository, She concluded that the Openness is very important for both science and sustainability. IGF should keep it as one of focused issues in the following Forums.
There are several critical issues related to open data of big data age were addressed and discussed during the session by speakers and participants.
Scientific infrastructure should supports seamless access, use, reuse, and trust of data. The physical and technical infrastructure becomes invisible, and the data themselves become the infrastructure. Open data means that data can be freely used, shared, and built on by anyone, anywhere, for any purpose.
The researchers are important contributors and beneficiaries of big data age, as Commercial users, individuals and decision-makers. More openness means less obstacles, and more beneficial to leader in high technology. Technologies Innovation will be further driven by open access to data, which also enables all the stakeholders benefit. It is not only for researchers and individuals, but various users.
Open data improve and encourage Big Data applications in different areas, including education and scientific research. Applications of open big data in different fields requires different analytical technique, that means the differences between commercial computing or social computing and research and education should be considered.
Big Data has now a significant influence on science and culture, social benefits are also expected from collection and analysis of data. Common Big Data technology drives new changes in education. They become maybe necessary for developing new approaches to education processes, mostly due to new analytical tools. To promote open data access, the benefits for citizens, funders and policymakers, researchers, enterprise and industry should be considered.
Conclusions drawn from the workshop and possible follow up actions
Data has become Indispensable strategic resource to support scientific research and various application services. Data to information, and to knowledge requires theories and techniques from many fields, and the networking is the important driving force for advancements of science and technology.
Big data for scientific research, it requires not only advancements on innovative technologies, like data modelling, storage, Intelligent Analysis, Parallel Computing. But also governance issues, like Data policy, Unified logical framework and standards, Validation network, Big Data Security, Intellectual property protection etc.
In this Big Data age, we have to encourage open data and data publishing governance across society, which implies access to and the reuse of data to maximize economic and social value of the data through various scientific and commercial applications and education.
The data sharing on public funded research benefits all. It will bridge the digital divide from the efforts of all stakeholders. International organizations should continue to play the leading role in the data sharing worldwide and work with other stakeholders to enhance data sharing in Developing Countries.
Possible Follow Up Actions:
Building a cooperative international expert team to keep continuous concern on the open data issues.
Cooperating with the worldwide stakeholders from different regions.
Promoting best practices and cases of open data application.
Organizing international workshops concerning the challenges and the needs from the countries and the regions.
Enhancing Capacity building through training program and academic exchanging.
Refining data sharing principles and guidelines