Date: Monday 31 August 2015, 9:30 – 16:00 (lunch provided)
Location: Informatics Forum, University of Edinburgh
Data creation, including non-traditional data types
Working with sensitive data
Archiving and sharing data, including preservation, re-use, and licensing
Infrastructure and tools, for example Electronic Lab Notebooks
Research software development and preservation
Linked open data for research, working with government data
Big Data and data mining
Meeting funder requirements for research data management
Presentations will be 15 minutes long, with 5 minutes for questions. Depending on numbers, thematic parallel strands may be used. Presentations will be aimed at an academic audience, but from a wide range of disciplines. Opening and closing keynote presentations will be given.
Call for proposals:
Leading edge research is reliant upon data that are produced or collected during the research process, or on existing data that is being analysed and re-used in new research questions. It is important to effectively manage research data throughout the lifecycle, from data management planning through to archiving and sharing. Requirements for managing data are increasingly being adopted by institutions and funders in order to foster good research data management practices.
Following on from the successful ‘Dealing with Data 2014’ half-day conference, Information Services are pleased to announce that we will be hosting a one-day conference covering a broad range of research matters from all disciplines on the subject of ‘Dealing with Data’.
The aim of the conference is for researchers of all levels at the University of Edinburgh to share good practice, emerging techniques and technologies, and practical examples in working with data across the research lifecycle.
We welcome proposals for presentations on any aspect of the challenges and advances in working with data, particularly research with novel methods of creating, using, storing, visualising or sharing data. A list of themes is given above, although proposals that cover any aspect of working with research data will be considered.
Please send abstracts (maximum 500 words) to email@example.com before Monday 6th July 2015. Proposals will be reviewed and the programme compiled by Friday 31st July 2015.
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