Data: lunchtime talks and courses for Oxford’s research community

The ‘Data’ series of lunchtime talks and courses is aimed at researchers from all disciplines who generate, gather, rearrange, or re-purpose data. The sessions will deal with software, services, and techniques to help you make the most of that data. Covering data visualisation tools and projects, and aspects of data management from planning to re-use, these sessions are intended to inspire, whilst also considering the practical requirements of research funders and issues surrounding data sharing.

Lunchtime Talks

Join us to hear how others are doing things with data, both in Oxford and outside, and come along to tell us about what you are doing.

Data: Trunk to tail – linking ElEPHãTs through the Semantic Web
Thurs 22 Oct
12:30-13:30
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HathiTrust offers millions of digitized titles; EEBO-TCP is a smaller well-defined collection of texts from 1473 to 1700. The Early English Print in HathiTrust (ElEPHãT) project bridges them using Linked Data as a basis for exploratory research utilizing the respective strengths of the two corpora.

Data: The Yin and Yang of data management
Thurs 29 Oct
12:30-13:30
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Anyone who manages data will face individually reasonable requirements which nevertheless seem to conflict with each other. Alex Hacker presents four such intractable contradictions and their harmonious resolutions, illustrated with examples from his work on the China Kadoorie Biobank.

Data: Challenges in dealing with very large collections of speech
Thurs 05 Nov
12:20-13:30
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John Coleman will talk about how human languages are extraordinarily large, complex and variable and how until recently, our ability to analyse or model these has been profoundly challenged by a problem of scale. For it to become feasible to analyse its many dimensions of variation, far bigger data sources will be needed. Aggregation of existing speech corpora could be an initial step towards generating a resource that begins to be large enough to start to get to grips with some of the main sources of variation.

Data: Reproducible Research -Statistical Analysis with R using RStudio, GitHub and Shiny
Thurs 19th Nov
12:30-13:30
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This talk will present practical, open source and integrated solutions to designing and streamlining your statistical analysis workflow using R within the RStudio environment, on the fly publishing of reports using knitr, interactive web graphics with Shiny as well as backup, collaboration and version control with GitHub.

Longer Courses

Research data management planning: An introduction for researchers
Wed 04 Nov
14:00-15:30
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Knowing how to put together a data management plan is an increasingly important skill for researchers from all disciplines – many major funders now require a plan as part of funding applications.

This course provides an overview of the key elements of a data management plan, plus an introduction to some tools and resources for building a plan for your own research.

Databases: An introduction to Oxford’s Online Research Database Service (ORDS) 
Mon 02 Nov
14:00-17:00
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The ORDS is a free service for researchers based at the University of Oxford. It offers researchers a place to host research databases, along with online tools to edit, analyse, and share their data.

This course explains how the ORDS can benefit researchers, and offers an introduction to the system and a chance to try it out for yourself. No prior knowledge of working with relational databases is required.

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