Third Revised Call for Papers and Sessions
Notes:
- The Call for Papers and Sessions is now closed
- Notifications of acceptance will be sent end of August.
- Abstracts acceptance is subject to delegate .
The International Conference on Data Sharing and Integration for Global Sustainability (SciDataCon 2014, 2–5 November) is motivated by the conviction that the most significant research challenges - and particular the pressing issues relating to global sustainability - cannot be properly addressed without due attention to various issues relating to data. SciDataCon aims to make explicit the connection between concrete and specific challenges to ensure environmental protection, economic prosperity and social well being along with the research questions that arise from these challenges and the necessary role of data policy, management and analysis in addressing these research questions.
Following discussions within the
International Scientific Programme Committee (ISPC), it has been decided that the SciDataCon programme will be structured around four 'tracks' expressing the themes detailed below. Three of the research and data themes relate to the
Future Earth programme, which is being coordinated by the
International Council of Science with new, international and interdisciplinary approaches on many issues concerned with global sustainability. The fourth theme is cross-cutting with regard to data preservation, access and analysis. The purpose of SciDataCon is to examine in an integrated way the data issues at the heart of these global research questions and in a manner that will have tangible benefit for society.
The SciDataCon 2014 ISPC renews its invitation for proposals for sessions and abstracts for presentations. Proposals for both papers and sessions should indicate for which track they are intended.
For session proposals we would particularly urge the following:
- That sessions aim to consider in as integrated way as possible the data issues at the heart of given research questions. SciDataCon 2014 aims to avoid the silos of 'discipline science' and 'data science'.
- That sessions should be designed to be as participatory as possible: there should be sufficient time allowed to allow engage participants in discussion. We also encourage sessions to be international, interdisciplinary and inclusive.
SciDataCon Tracks
Track A:
Dynamic Planet
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Track B:
Global Development
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Track C:
Transformations Towards Sustainability
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Track D:
Data Science and Services
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What are the data challenges and opportunities to enable observing, explaining, understanding, projecting earth, environmental and societal system trends, drivers and processes and their interactions to anticipate global thresholds and risks? |
How to ensure availability of data and information to address the most pressing needs of humanity including sustainable, secure and fair stewardship of food, water, biodiversity, energy, materials, and other ecosystem functions and services? |
How can the massive volume of new geophysical, biological, and social data—including local and indigenous knowledge and social media—be managed and analyzed to balance environmental protection, economic prosperity and social equity? |
What are the latest developments, successful approaches and identified needs in data science to promote emergence of trusted and sustainable infrastructures that will facilitate data preservation, access and analysis for the benefit of society? |
Under these themes, presentations and sessions are invited to address the topics listed below.
SciDataCon Sub-Themes and Topics
- Data sharing, integration, and interoperability to address research challenges in global sustainability:
- Data publication and citation
- Innovative approaches to data integration and interoperability
- Semantic data integration
- Interoperability standards and reference data
- Software architecture and systems
- Disciplinary and interdisciplinary case studies: environment, health, social sciences, humanities, biodiversity, climate change, materials, energy, disasters, etc.
- Big Data science and technology:
- Data-intensive scientific discovery
- Large-scale computing software and systems
- Presentation, analytics, learning, and knowledge discovery
- Data mining and visualisation
- High-impact applications
- Development and sustainability of data services:
- Data systems and infrastructure sustainability
- Data curation and stewardship, and development of trusted repositories
- Solutions and tools for research data management and data security
- Rescue of scientific data at risk
- Capacity building and education in data science
- Private sector roles and public-private partnerships
- Scientific data for decision making and policy:
- Assessment of the impact and economic and societal value of data
- Data quality, documentation, and credibility
- Data-driven models and data products for decision- and policy-makers
- Citizen science and crowdsourcing
- Sustainability indicators and metrics
- Open government
- International collaboration on research data:
- Development of new observational and data networks
- Interoperability and integration of existing data networks
- Data policy and access, particularly in developing countries
- Open scientific research data frameworks, including legal issues
- Capacity building and advocacy
- Lessons learned from past or current international research and data programmes
- New opportunities to support Future Earth and other international research initiatives
Abstracts and Full Papers Publication
All accepted abstracts will be published in the Conference Proceedings, following the prescribed submission format.
Selected authors, who indicated their intention to submit full papers, will be invited to publish a peer-reviewed manuscript in a special issue of the
CODATA Data Science Journal.