Call for Sessions: CODATA 2019 - Towards next-generation data-driven science: policies, practices and platforms
Date: Feb 1, 2019
CALL FOR SESSIONS – DEADLINE 15 April 2019 https://conference.codata.org/CODATA_2019/
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 science: policies, 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 15 April 2019: https://conference.codata.org/CODATA_2019/submit/
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.
1 February: Call for Session Proposals Released
1 April: Registration Open
15 April: deadline for session proposals
30 April: accepted session proposals notified; call for presentations and posters released.
31 May: deadline for presentation submissions and first round of poster submissions
30 June: 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
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