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. 2022 Feb 2;10:1023. Originally published 2021 Oct 8. [Version 2] doi: 10.12688/f1000research.72808.2

Table 2. Key themes identified in student responses.

Comments provided in response to the survey ( Underlying data: Table S9 46 ) were combined to identify key themes. Meaning units are extracted phrases from the survey responses. These meaning units were coded to themes identified through initial text analysis of all qualitative responses. The number of respondents whose comments were coded to each theme is shown in brackets.

Theme Number of meaning units (individual respondents) Example statements
Relevant new skills 31 (12) A bioinformatics project would teach me skills that I would be able to apply more readily, regardless of any specialism in a particular area
Appreciation of bioinformatics 19 (12) I realised the potential of bioinformatics, before I knew that this was a relevant and current area of research but now I fully understand why it is so important and I am interested in looking into bioinformatics in the future as well
Critical analysis and literature review 9 (8) Improving my ability to critically evaluate papers was crucial in my personal development as it allowed me to widen my understanding of different topics
Excellent support and supervision 9 (8) Learning new things with excellent supervisors and support
Satisfaction 9 (7) It was really satisfying to see my annotations get uploaded onto the database
Effective use of databases 7 (5) Learning how to use the databases and tools with a specific goal in mind makes it much easier to understand and get to grips with and presents a great opportunity to learn from leaders
Enjoyment 7 (6) I thoroughly enjoyed my bioinformatic dissertation
Accessibility 6 (6) Data entry can be boring but the thought that it would be made available and the information could be valuable to researchers was nice and makes it worthwhile
Project focus 6 (5) The project was on Alzheimer’s disease, which I was interested in learning about more