Topics around project management come up fairly regularly on this blog, because I think that getting to grips with these kinds of techniques is really helpful in terms of managing your time. But good time management isn’t the only thing that’s going to keep your research on track. There’s another strand of project management which is equally useful – risk management. This is about acting now to increase the chances of things going well.
We all engage in risk management on a daily basis: when we look both ways before crossing the road, for example. We assess the risks and make changes accordingly: if we judge a road to be particularly fast/busy, we might walk a bit further to the pedestrian crossing. But risk management in research goes a lot further than health and safety. Continue reading “Is research a risky business?”
We’ve talked a bit about Research Data Management (RDM) on this blog before, with a post from our Research Repository Advisor in Library Services and another from a current PGR. However, now that there is a requirement for all PGRs who started their research programmes in or after September 2017 to produce a Data Management Plan (DMP) in advance of their first annual review, it seems a good time to revisit this topic, with a focus on DMPs.
A DMP is a living document that outlines how data are to be handled during and after a research project. A good DMP will protect you against data loss and ensure you have well-documented data to assist with writing up and possible future data sharing. Continue reading “Planning to manage your data”
This week, a guest post from Patricia Herterich, Research Repository Advisor in Library Services, on managing your research data.
There are many aspects to a successful PhD project and challenges to master on your way to graduation. You most certainly are aware that you should acquire e.g. writing and referencing skills, but how much time have you spent thinking about the research data management activities you might need to undertake as part of your research? None yet? Time to get started with our introduction to research data management! Continue reading “Big data, small data, no data”
In the first of an occasional series, we take a closer look at a specific descriptor from the RDF.
In this series of “Spotlight on…” posts, we’ll be delving into the detail of the descriptors in Vitae‘s Researcher Development Framework (RDF). Each one of the sixty-three descriptors is a characteristic of an excellent researcher, and we’ll be looking at how UoB PGRs can develop these characteristics.
The RDF descriptor “appropriate practice” is one which is easier to define through its opposite: academic malpractice is any activity – intentional or not – that is likely to undermine the integrity essential to scholarship and research. Examples of academic malpractice include plagiarism and falsification/fabrication of results. Continue reading “Spotlight on the RDF: “Appropriate practice””