To comply with good scientific practice (GSP), research data and all associated information that enables the traceability and reproducibility of the research should be securely archived for at least 10 years. In addition, many German research funding institutions and European funding programs require mandatory information on the further use or exploitation of the data after completion of the project (subsequent use and data publication). One way to fulfill these requirements is to archive and/or publish your research data in the TUD's own repository OPARA. In this lecture, after a brief introduction to the concepts of archiving and publication, the OPARA platform will be demonstrated and you will learn how to use the repository for your research data.

This course focuses on quantitative empirical accounting research, covering theoretical, methodological and technical aspects of this research program. It also introduces students to the concepts of Open Science. In terms of applications, it concentrates on financial and other related disclosure issues but also touches on some managerial and auditing topics. After this course, participants should have a clear understanding about the theoretical foundations of quantitative empirical accounting research, know the methodological approaches to and common pitfalls of empirical research designs, have become familiar with a collaborative open science workflow using R/Python/Stata and Github, know how to execute empirical archival studies, including the usability and inter-operability of different data sources and, based on their own research proposal, have received constructive feedback on how to design and execute a viable study in the area of quantitative empirical accounting research.

First part, online: 01.09.24, 04.09.26, 08.09.26, 11.09.26
Second part, in person (Berlin): September 16 - 18, 2026