Research Data Management (RDM), Reproducibility, and Open Science
Session Aim

Research data management (RDM) is an umbrella term, covering a range of data-related activities during the whole research project life-cycle, from before it starts to after the project concludes. The session aims to give an overview of the research process, and how researchers in Oxford can improve each stage of this process.

Session Content

This session will cover the following topics:

Research integrity: motivations and barriers

Components of good research data management (RDM)

Resources available to help with RDM (in Oxford and more widely)

Choosing tools for research.

Open science, reproducibility, and future directions for research.

Questions and feedback

Session Objectives

At the end of the session, participants will be able to:

Reflect on their research processes and to consider ways in which they can improve these processes and consequentially the outputs they produce. Much of the focus will be on providing detail of all the resources available to the participants, as well as giving them an opportunity to ask questions.
Date: 8 December 2020, 10:00
Venue: Venue to be announced
Speaker: Laurence Brown
Organising department: Big Data Institute (NDPH)
Organiser: Sarah Laseke (Big Data Institute)
Organiser contact email address: sarah.laseke@ndph.ox.ac.uk
Host: Sarah Laseke (Big Data Institute)
Booking required?: Required
Booking url: https://oxford.onlinesurveys.ac.uk/rdm
Audience: Members of the University only
Editor: Sarah Laseke