GAUSS

Information from GAUSS & GAUSS Career Service

16th Open Science Meet-up, 08 Oct 2020

Topic: Reproducibility

Research reproducibility is a key concern across disciplines and stakeholder groups, including research funders, journals and scholarly societies, and has been coined as a “reproducibility crisis” a couple of years ago.

In this meeting we will look into the concept as a spectrum of terms and practices which aim to improve the transparency and reliability of research results. We will focus on how these concepts work out in practice, e.g. when implemented in the context of research projects, publishing or training and teaching.

If you would like to contribute a short presentation about a conceptual approach or practical experiences please do not hesitate to get in touch.

We will use the following working definitions:

  • reproducibility: same data, same methods –>> same/similar findings
  • replication: new data and/or new methods in an independent study –>> same/similar findings

 

Venue: Video conference – Main room: https://meet.gwdg.de/b/jul-hnd-nk7
Hour: 13.00-16.00 o’clock
Registration: https://forms.gle/ANeBRLpWgpgGAsYQ8
Archive of presentations & materials: https://owncloud.gwdg.de/index.php/s/Z6qmhAv8ypUQCOv
Back to master pad: https://pad.gwdg.de/OpenScienceGoe

Draft Agenda

13.00 – 13.30 Welcome & round of introduction

13.30 – 14.30 Presentations (10-15 min/each)

  • Reproducibility in research data management trainings for Economists – Sven Vlaeminck / Olaf Siegert, ZBW Kiel
  • Reproducible data analyses in students’ theses – Laura Botzet
  • Reproducible scholarly communication analytics – Najko/Anne/Max

14.30 – 14.45 Break

14.45 – 15.15 Show & Tell

  • Using Jupyter Notebooks for the Reproducibility of a Digital Humanities PhD – José Calvo Tello
  • Creating an executable paper is a journey through Open Science – Jana Lasser

15.15 – 15.45 Breakout discussion

15.45 – 16.00 Reports & planning

 

Dr Birgit Schmidt, Head of Knowledge Commons, Göttingen State and University Library, Tel (Office): +49 551 39 33181, E-Mail: bschmidt@sub.uni-goettingen.de