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Date: 04.12.2019
Fee: free
Venue: Humboldt Graduate School
Duration: about 3 hours
Objectives
Do you know what counts when it comes to judging whether data must be retracted? This is a complex and discipline-specific issue. We give you an idea of what matters to avoid having your data retracted based on real-world examples. This is an interactive workshop building on exercises around this topic. We will also explore with you the greyscale for data manipulation judgement that the HEADT Centre has developed.
Content and Format
This workshop is interactive, including discussions and exercises. We give you an overview to introduce you to the topic in the first part.
We will cover the following topics:
Defining data falsification & fabrication
Consequences of data falsification
Quantifying data falsification
Discussion on what data falsification looks like in your discipline
- Large group practice: evaluate public cases together with the trainers (using the HEADT Centre greyscale)
Small group practice: evaluate examples you brought in small groups (using the HEADT Centre greyscale)
Q&A (participants can ask questions)
Reflection: you will individually formulate a list of what you personally will and will not do while collecting & managing data for your research
- Review of the workshop where you can give feedback
Preparation
Participants will be expected to do the following ahead of the workshop:
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Bring an example of a case where data are known or speculated to be falsified or fabricated. We will use those examples in the small group practice.
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Read chapters 1 - Introduction and 2 - State of the Art in Seadle, M.S. (2017). Quantifying research integrity. San Rafael, California: Morgan & Claypool. The book is available via HU network (or VPN). Follow this link to access it.
Optional: Read chapter 3 - Quantifying Data Falsification.
Registration closed
Information on the trainers
All
three trainers are part of the HEADT Centre team. The HEADT Centre is
the Humboldt-Elsevier Advanced Data and Text Centre. You can read more
about the HEADT Centre and its objectives on our website: https://headt.eu/
Prof. Michael Seadle, PhD is a professor and senior researcher at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. He is one of the Principal Investigators of the HEADT Centre and wrote the book Quantifying Research Integrity (published in San Rafael, California, by Morgan & Claypool, 2017). Michael Seadle is also the executive director of the iSchools Inc. (https://ischools.org/).
Dr. Thorsten Beck is a researcher at the HEADT Centre working on image manipulation. He manages the Image Integrity Database project that the HEADT Centre is currently building up. He did his doctorate on image manipulation and published his dissertation with the title Shaping Images - Scholarly Perspectives on Image Manipulation (published in Berlin by De Gruyter Saur, 2016).
Melanie Rügenhagen (M.A.) is the manager of the HEADT Centre and a doctoral candidate at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. She is concerned with data integrity and specifically does research on the quality of qualitative research.