Gute wissenschaftliche Praxis

Spektakuläre Fälle wissenschaftlichen Fehlverhaltens haben in den letzten Jahren deutlich gemacht, dass wissenschaftlich korrektes und ethisch reflektiertes Arbeiten keineswegs selbstverständlich ist. Die Vermittlung der Anforderungen und Richtlinien guter wisenschaftlicher Praxis bildet darum einen wichtigen Bestandteil der wissenschaftlichen Ausbildung. Die Grundlagen dafür werden im Fachstudium geschaffen; je eigenständiger die NachwuchswissenschaftlerInnen jedoch arbeiten und je komplexer ihr Forschungsvorhaben ausfällt, desto mehr Fragen ergeben sich zu dem „richtigen“ Umgang mit den Gegenständen und mit den Ergebnissen ihrer Forschung.

Um diesem Bedarf gerecht zu werden, bietet die Graduiertenakademie künftig in jedem Semester einen Einführungskurs in die Thematik an (abwechselnd auf Deutsch und auf Englisch) sowie jeweils im Sommersemester weitere Workshops, in denen einzelne Aspekte vertieft behandelt werden.

„Good Scientific Practice“ (GSP) im Sommersemester 2017

Die Anmeldung für die neuen Kurse ist ab dem 15. März 2017 möglich!

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
Description:

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

 

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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
Description:

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.

Programme

  • 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

 

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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
Description:

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

 

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15 March 2017

Verantwortlich: Eric Herbst
Letzte Änderung: 12.04.2017
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