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Thu 31 Oct 2019
14:00 - 16:00

Venue: 17 Mill Lane, Seminar Room E

Provided by: Office of Scholarly Communication


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Managing your digital information (for PhD students in Humanities, Arts and Social Sciences)

Thu 31 Oct 2019

Description

Prevent research disasters through good data management

  • How much information would you lose if your laptop was stolen?
  • Have you ever emailed your colleague a file named 'final_final_versionEDITED'?
  • Do you know what your funder expects you to do with your research information?

As a researcher, you will encounter research data in many forms, ranging from literature sources, interviews, measurements, numbers and images.

Whether you create, receive or collect this information, you will need to organise it.

Managing digital information properly is a complex issue. Doing it correctly from the start could save you a lot of time and hassle when preparing a publication or writing up your thesis.

Target audience
  • PhD students in HASS subjects
  • Other PhD students and postdocs also welcome
Sessions

Number of sessions: 1

# Date Time Venue Trainer
1 Thu 31 Oct   14:00 - 16:00 14:00 - 16:00 17 Mill Lane, Seminar Room E map Dr B. Gini
Topics covered

In this introduction to managing digital information, we will cover

  • Strategies for backing up your computer
  • Strategies for naming and organising your files
  • Strategies for file exchange with collaborators
  • Funder requirements for making your digital information (or data) available
  • How to write a Data Management Plan
Format

Interactive workshop

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 this session
Duration

One session of two hours

Frequency

Once a term

Related courses
Theme
Research Data Management

Booking / availability
https://www.training.cam.ac.uk/gsls/event/3079617
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