Courtesy of www.grammarcheck.net, here is an infographic with a really useful set of online resources:
Source: www.grammarcheck.net
PhD Skills
Supporting postgraduate research students
Monday, 7 January 2019
Thursday, 30 August 2018
The art of supervisor wrangling
The art of supervisor
wrangling
A colleague of mine was sitting beside a senior academic at
a conference. A young researcher was giving a presentation on the preliminary
results from their doctoral research, and the senior academic was really
impressed. The topic coincided perfectly with his research interests. Meeting
the young researcher over coffee, the senior academic paid his compliments, and
enquired who was the young researcher’s PhD supervisor. “You are”, they replied...
Tuesday, 2 January 2018
Research article: mental health problems in PhD students
Work organization and mental health problems in PhD students by Katia Levecque and colleagues was recently (2017) published in Research Policy.
Using a web-based questionnaire and a sample of several thousand PhD students in Belgium, their work indicated that one in two PhD students experienced psychological distress, and that one in three was at risk of a common psychiatric disorder (especially depression).
I was already aware of other research from Australia (ABS 2007), indicating that one in five people could expect to experience a mental health problem (of varying severity) in a 12-month period. This study, however, focuses in more detail on PhD students.
They authors ask: what can research policymakers do?, and suggest the following:
- raise awareness
- assess policies for the extent to which research funding and employment conditions alleviate or exacerbate risks to mental health
- improve protections for those with mental health problems.
Levecque et al. 2017. Work organization and mental health problems in PhD students. Research Policy 46: 868-879.
Australian Bureau of Statistics. (2007). National Survey of Mental Health and Well-being: Summary of results. Catalogue No. 4326.0. Canberra, ACT: Australian Bureau of Statistics.
Using a web-based questionnaire and a sample of several thousand PhD students in Belgium, their work indicated that one in two PhD students experienced psychological distress, and that one in three was at risk of a common psychiatric disorder (especially depression).
I was already aware of other research from Australia (ABS 2007), indicating that one in five people could expect to experience a mental health problem (of varying severity) in a 12-month period. This study, however, focuses in more detail on PhD students.
They authors ask: what can research policymakers do?, and suggest the following:
- raise awareness
- assess policies for the extent to which research funding and employment conditions alleviate or exacerbate risks to mental health
- improve protections for those with mental health problems.
Levecque et al. 2017. Work organization and mental health problems in PhD students. Research Policy 46: 868-879.
Australian Bureau of Statistics. (2007). National Survey of Mental Health and Well-being: Summary of results. Catalogue No. 4326.0. Canberra, ACT: Australian Bureau of Statistics.
Tuesday, 5 December 2017
Managing data for managing research
This is a guest post by Saoirse Cummins, who is two months into herPhD on the impact of
grass-legume mixtures on soil carbon & citrogen cycling & greenhouse
gas emissions. Saoirse recently did the online MANTRA training course, and shares her experience here.
What is
Mantra?
The
Mantra online training course http://mantra.edina.ac.uk/researchstudent.html is a
free online course for those who manage digital data as part of their research
project. The training breaks down & explains the different components of
what makes data & differentiates between types. This was useful for me going
from undergraduate to PhD as beforehand I was not really aware of the major
differences between data forms i.e.
primary, secondary, and compiled data, & what criteria allot data into each
category. There were many new concepts & the training familiarised me with approaches to data organisation
such as database normalisation & statistical normalisation. Although I have never dealt with
highly sensitive data, the training also made me aware of the steps &
measures which are taken to ensure the ethical handling of personal data in
other research fields.
How do
you learn?
Training
is divided into nine sections which do not have to be completed in one sitting
which is useful as they delve into quite a bit of detail. The video interviews
& interactive exercises throughout each section help you pay attention
during the training & make you familiar with the key points of each
section. The interviews with academics in different stages of research (such as
PhD students & professors) provide an insight into the importance of data
management throughout the career of a researcher. One interviewee shared their
experience of paying £600 to a data recovery company. Therefore, simply for
monetary reasons, it is important to make sure data is backed up and safe both
throughout research & beyond publication. The training poses questions such
as, what you would do if after publishing a paper your data credibility or
originality is questioned? This outlines the need for good records &
backing up of data to prove data integrity if there is a query.
Benefits
I always
understood the importance of referencing & citing material. As a PhD
student, the citing of other people's data to create gaps in knowledge &
formulate methodology for upcoming experiments is a large part of the process.
I always understood the importance of referencing & citing; however, Mantra
training delves into the logistics behind ownership of data & explains how
easy it is to infringe on data protection & rights. The training therefore
reiterates & explains the importance of data citation as part of the
scholarly record & emphasises the importance of organisation &
traceability. I particularly enjoyed the training on keeping a laboratory
notebook as I know that this will be useful once I complete fieldwork
& begin analysis. I might not have considered other small details before,
such as file formatting & naming files correctly to keep them traceable, but
these minor details actually turn out to be very important. Data handling tutorials in SPSS, R &
ArcGIS are great, especially for those in environmental science research.
Saoirse
Cummins
30th
November 2017
Wednesday, 22 November 2017
Many analysts, one dataset, different conclusions
29 groups analysed *the same dataset* to answer
the same research question.
69% found significant results, 31% did not.
Effect sizes ranged from 0.89 to 2.93.
"This suggests that significant variation in the results of analyses of complex data may be difficult to avoid even by experts with honest intentions."
Link to the article here: Many analysts, one dataset: Making transparent how variations in analytical choices affect results
69% found significant results, 31% did not.
Effect sizes ranged from 0.89 to 2.93.
"This suggests that significant variation in the results of analyses of complex data may be difficult to avoid even by experts with honest intentions."
Link to the article here: Many analysts, one dataset: Making transparent how variations in analytical choices affect results
Friday, 17 November 2017
Academic Phrasebank: a resource for academic writers
Academic Phrasebank: This is a great resource y John Morley, and provides detailed examples of some of the phraseological ‘nuts and bolts’ of writing". It's well worth looking at, is structure according to the main sections of research reporting.
Monday, 20 March 2017
Career tool: Individual development plan
I just discovered this excellent individual development plan (IDP) that helps you explore career possibilities and set goals to follow the career path that fits you best. The American Association for the Advancement of Science has an online tool for PhD and postdoctoral researchers in the sciences, and provides:
https://myidp.sciencecareers.org/
- Exercises to help you examine your skills, interests, and values
- A list of 20 scientific career paths with a prediction of which ones best fit your skills and interests
- A tool for setting strategic goals for the coming year, with optional reminders to keep you on track
- Articles and resources to guide you through the process
https://myidp.sciencecareers.org/
Labels:
career,
development,
early career researcher,
planning,
skills
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