Good Scientific Practice

Recent spectacular cases of scientific misconduct have demonstrated that correct and ethical research practices cannot be taken for granted. Therefore, teaching the requirements and guidelines of good scientific practice is an integral part of scientific education. Students receive the foundations of good scientific practice during their university coursework; however, as doctoral students, their research becomes increasingly independent and complex, giving rise to greater questions about the “proper” way of dealing with research subjects and results.

In order to meet this demand, the Graduate Academy offers an introductory course on this topic (on a rotating basis in English and German) as well as additional workshops (in the summer semester) that expand on individual aspects.

"Good Scientific Practice" (GSP) in Summer 2017

Registration for the new course programme will open on 15 March 2017!

Good Scientific Practice: Introduction

Tutor: Dr. Sita Schanne
Date: Tuesday, 16-05-2017, 9 am - 1 pm
Location:       Seminarzentrum D 2, Bergheimer Straße 58, Eingang Fehrentzstraße

Serious cases of scientific misconduct have been reported recently in the media. But beside the most prominent cases several shades of questionable scientific practice might undermine the integrity of the sciences. Based on the recommendations for “Safe Guarding Good Scientific Practice” by the Deutsche Forschungsgemeinschaft this course wants to support doctoral students to develop a responsible professional conduct as a researcher.

In this introductory workshop you will gain a general understanding of good scientific practice and scientific misconduct (e.g. plagiarism, fabrication, falsification). We will explore key areas of conflict, critical situations and possible causes of misconduct. Questions regarding data management, documentation and ownership will be addressed, as well as the correct use of references and problem areas in the publication process.

Participants:       max. 12
Fee:    15 Euro




15 March 2017

Publishing Papers in the Natural Sciences

Tutor: Dr. Philipp Mayer
Date:    Friday, 25-08-2017, 9 am - 5 pm
Location:    Seminarzentrum D 2, Bergheimer Straße 58, Eingang Fehrentzstraße

Publishing papers in academic journals is a demanding task that is at times rewarding and at times frustrating. As publishing is a prerequisite for a career in science, it is important to approach the topic strategically.

The objectives of this course are: (1) to understand the publication process in peer-reviewed journals, (2) to learn about ethical standards and legal regulations, and (3) to develop individual publishing strategies.


  • the peer review system: stakeholders and processes
  • criteria for journal selection (e.g. journal reputation, decision time, rejection rate)
  • how to write a cover letter
  • what editors want
  • what reviewers do
  • what to do in case of rejection
  • authorship
  • ethical obligations
  • copyright issues

Short lectures provide information and tips; extended exercises help to develop individual strategies. Participants will gather and share their experiences. They will progress during the course with their own PhD projects.

Participants:       max. 12
Fee: 15 Euro




15 March 2017

Research Data Management

Tutor: Dr. Jochen Apel, Jonas Kratzke
Date:    Thursday, 08-06-2017, 2 - 6 pm
Location:    Seminarzentrum D 2, Bergheimer Straße 58, Eingang Fehrentzstraße

Collecting, processing and analysing data are central activities for virtually every researcher. Nevertheless many research projects lack a structured and well organized data management. This course is meant to give a general, discipline-independent introduction into various topics central to an efficient management of research data with a special focus on questions related to data archiving and data sharing. Both data archiving and data sharing are central aspects of good scientific practice. Archiving and long-term preservation of research data are prerequisites for the scrutiny of scientific results based on the analysis of this data. Data sharing on the other hand increases transparency of research results and enables possible re-usage of data for new research questions, in combination with additional data sets and in interdisciplinary contexts.

In particular the course will cover the following topics:

  • Requirements on research data handling from universities, research funders and scientific journals
  • Short-term and long-term preservation: formats, metadata, documentation, standards
  • Data sharing, data publication and data citations: Where? How? Why and why not?
  • Creation of data management plans for research projects
  • Support for researchers at Heidelberg University: the Competence Centre for Research Data
Participants:       max. 12
Fee: 10 Euro




15 March 2017

Verantwortlich: Eric Herbst
Letzte Änderung: 2017-04-12
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