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Wed 12 Jul 2017
10:30 - 17:30

Venue: Department of Engineering, Lecture Room 5

Provided by: Office of Scholarly Communication


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Text and Data Mining Symposium
New£

Wed 12 Jul 2017

Description

The nature of research is changing. What is the potential of text & data mining (TDM)to impact on this? How are researchers today using TDM to cope with the ever-increasing amount of information available? Are funder and publisher policies adapting to reflect both the legal right UK researcher have to mine published literature and the new possibilities TDM now present? These are some of the questions we will be asking in this day of talks, workshops and discussions.

Join plenary speaker Kiera McNeice of the FutureTDM project, Cambridge researchers and the National Centre for Text Mining, along with guest speakers from UCL, PLOS and more to discover:

  • practical tips for TDM
  • what TDM tools are available
  • advice on supporting researchers using, or considering using, TDM
  • improving the quality of research through TDM
  • innovations in TDM – new uses for technologies in research

Coffee and lunch will be provided and the day will end with a summer drinks reception.

There is a charge for this event. These charges are:

  • £10 for University of Cambridge members
  • £50 for all other attendees

Once you have booked your place here, please follow this link to make your payment: http://onlinesales.admin.cam.ac.uk/conferences-and-events/university-library/text-data-mining-symposium/text-data-mining-symposium

Can't make the symposium? Watch the opening Plenary and closing roundtable discussions via live-stream from 11:00 on Wednesday 12 July by following this link: http://cam.adobeconnect.com/osc2/ Simply select to 'Enter as Guest' (no need to create an Adobe Connect account).

You can also catch up when the recordings are available on the Office of Scholarly Communication 'Recordings of Past Events' page: http://osc.cam.ac.uk/events/recordings-past-events

A program for the day can be found here: https://docs.google.com/document/d/1l4N2fSFgpL3iMbjKC3IxHz7GpNVvERB5NzxqWp8jZQo/edit?usp=sharing

Target audience
  • Librarians
  • Researchers
  • PIs
  • PhD students
  • Administrative staff
  • Members of the public
  • Further details regarding eligibility criteria are available
Prerequisites

Booking through this website requires a Raven login. If you would like to attend and are not from the University of Cambridge or are not a current member of the University of Cambridge, please contact info@osc.cam.ac.uk and we will book a place on your behalf. A fee of £50 will apply for attendees external to the University.

Sessions

Number of sessions: 1

# Date Time Venue Trainers
1 Wed 12 Jul   10:30 - 17:30 10:30 - 17:30 Department of Engineering, Lecture Room 5 map Kiera McNeice,  Dr P. Murray-Rust,  C. Court,  Ben Outhwaite,  C. Matthews,  Yvonne Nobis,  Georgina Cronin,  John McNaught,  Rosemary Dickin
Format

Presentations, demonstrations, talks, Q&As, roundtable discussion

How to Pay

There is a charge for this event. These charges are:

  • £10 for University of Cambridge members
  • £50 for all other attendees

Once you have booked your place, please follow this link to make your payment: http://onlinesales.admin.cam.ac.uk/conferences-and-events/university-library/text-data-mining-symposium/text-data-mining-symposium

Recording and photography

Photography and/or filming and live-streaming of this event will take place. This includes audio recording of presentations and audience questions.

The photographs and films will be used by the University of Cambridge's Office of Scholarly Communication for the purpose of promoting its activities and may be published on the OSC’s websites and circulated to the press and other media organisations for publication, transmission or broadcast.

If you are attending the event and do not wish to be recorded, please note this in the 'Special Requirements' section when booking.

Mailing Lists

When you attend an event run by the OSC, we add you to our mailing lists to keep you up-to-date on the latest developments and opportunities in the field of open research. We send one Research Data Newsletter and one Office of Scholarly Communication newsletter per month. You are welcome to unsubscribe from these lists at any point if you feel the information is not relevant to you.

Notes
  • Please bring your own internet-enabled device to the session. We invite you to tweet the event #osctdm
Duration

One day symposium

Themes

Booking / availability