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48613-01 - Vorlesung mit Übungen: Research Data Management 2 KP

Semester Frühjahrsemester 2021
Angebotsmuster Jedes Frühjahrsem.
Dozierende Manuel Hetzel (manuel.hetzel@unibas.ch, BeurteilerIn)
Inhalt Research data management concerns the organisation of data, from the time of data generation through the entire research cycle leading to archiving of data and dissemination of findings. Research data management can be a complex issue, but done correctly from the start, it will save a lot of time and hassle at the time when the data has to be analysed for a publication or 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.

Summary of the course content:
- Data flow and audit trail
- Data collection, cleaning, storing
- Electronic data capture incl. form design in ODK
- Database formats, relational databases
- Data Management Plan
- Data protection and integrity
- Data storage, repositories, publishing
- Open science
Lernziele Accurate, reliable and accessible research data forms the basis of our scientific work. In this course, students will learn the essentials of managing research data starting from data collection (with a focus on electronic data capture) to data cleaning, analysis, dissemination and archiving.
Literatur Useful literature:
- 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)
Bemerkungen Course dates: 12 / 19 / 25 March & 8 April 2021

Time: 9:15 to 17:00

Additional lecturers:
Moniek Bresser
Nina Brunner
Giulia Delvento
Aurelio Di Pasquale
Malin Ziehmer


Teilnahmebedingungen 1) Students need their own laptop with Stata software installed
2) Basic working knowledge of Stata (e.g. from course 'Biostatistics') is a requirement
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz


Intervall Block
Datum 12.03.2021 – 08.04.2021
Zeit Siehe Detailangaben
Datum Zeit Raum
Freitag 12.03.2021 09.00-17.00 Uhr - Online Präsenz -, --
Freitag 19.03.2021 09.00-17.00 Uhr - Online Präsenz -, --
Donnerstag 25.03.2021 09.00-17.00 Uhr - Online Präsenz -, --
Donnerstag 08.04.2021 09.00-17.00 Uhr - Online Präsenz -, --
Module Doktorat Epidemiologie: Empfehlungen (Promotionsfach Epidemiologie)
Lehrveranstaltungen Masterstudium Infektionsbiologie (Masterstudium: Infektionsbiologie)
Modul: Biostatistics and Computing (Masterstudium: Epidemiologie)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung Assignments. Students are expected to complete and submit all assignments in time to be awarded the credit points.
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Schweizerisches Tropen- und Public Health-Institut