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Upcoming events

    • 6 Nov 2019
    • 8 Nov 2019
    • New Delhi, India

    Source: https://www.teriin.org/events/icdl/

    Prof. Michael Seadle and Katarzyna Biernacka are invited to give talks at the ICDL 2019. Katarzyna will present her first findings from the interviews regarding the legal challenges of publishing research data from the point of view of lawyers and scientists in an intercultural comparison. Seadle is program chair.

    Click here to learn more about ICDL 2019.

    • 28 Nov 2019
    • 10:00 - 14:00
    • Humboldt Graduate School


    Workshop Website

    Main instructor: Dr. Thorsten Beck

    Trainers: Prof. Michael Seadle, PhD, Melanie Rügenhagen (doctoral candidate)


    Duration: about 3 hours


    Objectives

    Are you working with images and want to learn what the boundaries are in changing images? We introduce you to actual  cases where Image manipulation had real-world consequences. Learn in interactive exercises where potential boundaries are and discuss what should be fair in your field. We will take a look at current software that helps identifying image manipulation and explore with you how you can avoid having your own images retracted in your scholarly work.


    Content and Format

    This workshop is interactive, including discussions and exercises. We will give you an overview to introduce you to the topic in the first part of the workshop.

    We will cover the following topics:

    • Defining image manipulation

    • Guidelines for proper image preparation

    • Consequences of inappropriate image manipulation

    • Quantifying image manipulation?

    • Practice: test basic forensic software to detect image manipulations

    • Practice and discussion: compare and contrast image manipulations across disciplines

    • Q&A (participants can ask questions)

    • Reflection: you will individually develop a greyscale for acceptable and less acceptable image manipulation and defend it

    • Review of the workshop where you can give feedback


    Preparation

    If you want to participate in testing software, you will need to bring your own laptop.

    Participants will be expected to do the following ahead of the workshop:

    • Install the software ImageJ and plugin InspectJ (https://imagej.nih.gov/ij/index.html; https://github.com/ZMBH-Imaging-Facility/InspectJ)

    • Bring an example of an image that is considered manipulated or where there is a discussion going on whether the image is manipulated. We will use those examples in the group exercise.

    • 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 5 - Quantifying Image Manipulation.

    • Read chapter 3 - Case studies. Image Manipulation in Scholarly Works in Beck, Thorsten Stephan. Shaping Images: Scholarly Perspectives on Image Manipulation. Berlin: De Gruyter Saur, 2016.



    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.

    • 4 Dec 2019
    • 10:00 - 14:00
    • Humboldt Graduate School

    /Workshop_How-to-avoid-having-your-data-caught-in-retraction!

    Workshop Website

    Main instructors: Prof. Michael Seadle, PhD, Melanie Rügenhagen (doctoral candidate)

    Trainers: Dr. Thorsten Beck

    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:

    • 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.

    • 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.



    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.


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