Towards a programmable Dataverse: Finding, getting and analysing the Data you need

Lars Kaczmirek, Lisa Hirsch

Veröffentlichungen: Working Paper

Abstract

The presented Open Educational Resources help mitigate common problems that arise when scientific data is used for educational purposes: Often, finding, getting and analyzing data is a time-consuming task. To address this problem, we demonstrate how teachers and their students can use the methods to directly download data. Good analysis scripts begin with code that fetches the data from a repository. This contributes to making research reproducible and supports proper citation of research data. Two examples, one executable in Python, one in a local R installation, will show how to download datafiles from a Dataverse repository, and take first steps in analysing data.
OriginalspracheEnglisch
DOIs
PublikationsstatusVeröffentlicht - 11 Nov. 2022

ÖFOS 2012

  • 102035 Data Science

Zitationsweisen