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

Semester Frühjahrsemester 2020
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 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
Lernziele 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.
Literatur 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)
Bemerkungen 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

 

Teilnahmebedingungen 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.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall Block
Datum 27.02.2020 – 27.03.2020
Zeit Siehe Detailangaben

Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.

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

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