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| Semester | spring semester 2020 |
| Course frequency | Every spring sem. |
| Lecturers | Manuel Hetzel (manuel.hetzel@unibas.ch, Assessor) |
| Content | Research data management concerns the organisation of data, from the time of data generation through the entire research cycle leading to dissemination and archiving of valuable results. Research data management can be a complex issue, but done correctly from the start, it can save a lot of time and hassle at the time the data should be analysed for a publication or writing up your thesis. In this course we will discuss and illustrate with practical examples ways to create, organise, share, and look after your research data. The focus will be on quantitative research data. We will contextualise the topics with requirements of funding bodies regarding the driving principle of data as a public good and ethical issues such as data protection and confidentiality. Content: Data flow Data collection, cleaning, storing Electronic data capture incl. questionnaire development Database formats, relational databases Data management plan design and data repository Data protection and integrity |
| Learning objectives | The basis of solid scientific work is accurate, reliable and accessible research data. Students will learn the essentials of managing research data starting from data collection to the stages of analysis, dissemination and archiving. |
| Bibliography | Useful litertaure: - S. Juul: Take good care of your data. Aarhus University, 2011. (available online: https://ph.au.dk/fileadmin/ph/Uddannelse/Software/TakeCareJan2011.pdf) - S. Juul & M. Frydenberg: An Introduction to Stata for Health Researchers. (Chapter 18) - C.O. Wilke: Fundamentals of Data Visualization. O'Reilly 2019. (available online: https://serialmentor.com/dataviz) |
| Comments | Course dates: Thursday, 27 February 2020 Thursday, 12 March 2020 Thursday, 19 March 2020 Friday, 27 March 2020 Time: 9:15 to 17:00 Additional lecturers: Moniek Bresser Nina Brunner Christian Burri Giulia Delvento Aurelio Di Pasquale Aita Signorell Marco Waser Malin Ziehmer |
| Admission requirements | A laptop with Stata installed and basic working knowledge of Stata are required for this course. As students will work mostly in groups, one laptop with Stata may be shared between two students, if necessary. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
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No dates available. Please contact the lecturer.
| Modules |
Courses: Master Infection Biology (Master's Studies: Infection Biology) Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) Module: Biostatistics and Computing (Master's Studies: Epidemiology) |
| Assessment format | continuous assessment |
| Assessment details | Assignments. Students are expected to complete and submit all assignments in time to be awarded the credit points. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Schweizerisches Tropen- und Public Health-Institut |