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Training for translation between disciplines
- Source :
- Bioinformatics, 34(13). Oxford University Press, Bioinformatics, Bioinformatics, 34(13), i4-i12. Oxford University Press, Anton Feenstra, K, Abeln, S, Westerhuis, J A, Brancos Dos Santos, F, Molenaar, D, Teusink, B, Hoefsloot, H C J & Heringa, J 2018, ' Training for translation between disciplines : A philosophy for life and data sciences curricula ', Bioinformatics, vol. 34, no. 13, pp. i4-i12 . https://doi.org/10.1093/bioinformatics/bty233
- Publication Year :
- 2018
- Publisher :
- Oxford University Press, 2018.
-
Abstract
- Motivation Our society has become data-rich to the extent that research in many areas has become impossible without computational approaches. Educational programmes seem to be lagging behind this development. At the same time, there is a growing need not only for strong data science skills, but foremost for the ability to both translate between tools and methods on the one hand, and application and problems on the other. Results Here we present our experiences with shaping and running a masters’ programme in bioinformatics and systems biology in Amsterdam. From this, we have developed a comprehensive philosophy on how translation in training may be achieved in a dynamic and multidisciplinary research area, which is described here. We furthermore describe two requirements that enable translation, which we have found to be crucial: sufficient depth and focus on multidisciplinary topic areas, coupled with a balanced breadth from adjacent disciplines. Finally, we present concrete suggestions on how this may be implemented in practice, which may be relevant for the effectiveness of life science and data science curricula in general, and of particular interest to those who are in the process of setting up such curricula. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- 0301 basic medicine
Statistics and Probability
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Bioinformatics Education
Computer science
Process (engineering)
0206 medical engineering
Data Science
Computational Biology
02 engineering and technology
Biochemistry
Training (civil)
Computer Science Applications
03 medical and health sciences
Computational Mathematics
030104 developmental biology
Computational Theory and Mathematics
Multidisciplinary approach
ComputingMilieux_COMPUTERSANDEDUCATION
Humans
Engineering ethics
Curriculum
Molecular Biology
020602 bioinformatics
Subjects
Details
- Language :
- English
- ISSN :
- 13674811 and 13674803
- Volume :
- 34
- Issue :
- 13
- Database :
- OpenAIRE
- Journal :
- Bioinformatics (Oxford, England)
- Accession number :
- edsair.doi.dedup.....d4b46e42e6d4f07f44a3030993d89d62