SciDataCon 2016 seeks to advance the frontiers of data in all areas of research. This means addressing a range of fundamental and urgent issues around the ‘Data Revolution’ and the recent data-driven transformation of research and the responses to these issues in the conduct of research.
SciDataCon 2016 is motivated by the conviction that the most significant contemporary research challenges—and in particular those reaching across traditional disciplines—cannot be properly addressed without paying attention to issues relating to data. These issues include policy frameworks, data quality and interoperability, long-term stewardship of data, and the research skills, technologies, and infrastructures required by increasingly data-intensive research. They also include frontier challenges for data science: for example, fundamental research questions relating to data integration, analysis of complex systems and models, epistemology and ethics in relation to Big Data, and so on.
The transformative effect of the data revolution needs to be examined from the perspective of all fields of research and its relationship to broader societal developments and to data-driven innovation scrutinised. Taken together these issues form a multi-faceted challenge which cannot be tackled without expertise drawn from many disciplines and diverse roles in the research enterprise. Furthermore, the transformations around data in research are essentially international and the response must be genuinely global.
The Programme of the conference will be published in mid-July!
Credits and more details: