RDM lecture by Susan Hommerson & Jolanda Habraken

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Event Details

Date
Tuesday October 1, 2019 from 12:30 PM to 1:30 PM
Location
TU/e
Building
Luna building - Corona hall
Organizer
DSCE

Lecture series about Research Data Management

RDM lecture #7, by Susan Hommerson & Jolanda Habraken, is organized on Tuesday 1 October --- doors open at 12:00 ---.

SUSAN HOMMERSON & JOLANDA HABRAKEN

TITLE
Ethics @ TU/e

ABSTRACT
More and more TU/e researchers are nowadays confronted with ethical questions regarding their research. They are increasingly asked to provide ethical approval in the academic system, for example by funding agencies and scientific journals. Ethical review is not only necessary when you are conducting research with humans, but also when you are conducting research with personally identifiable data. For a lot of TU/e researchers, this ethical review process is relatively new.

In this talk we will go into detail about why ethics matter, and how ethics is related to privacy and data management aspects.

Furthermore, we will tell you how ethics, privacy and data management are becoming embedded at the TU/e. We will introduce the new TU/e Ethical Review Board and the process for medical ethical review when you do medical research.

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Data Science Center Eindhoven, together with IMS and IEC, is organizing a series of monthly RDM lectures during lunchtime. Internal and external experts will provide the talks and video recordings will be shared by default. We organize these this series with the goal to increase awareness, share tips & best practices, learn from each other, make use of existing support and improve this where needed. This series is aimed at scientific + support staff, but open to all. Attendance if free of charge, however registration is required.

Organizer

Data Science

Data Science is an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. The successful and responsible application of these methods highly depends on a good understanding of the application domain, taking into account ethics, business models, and human behavior.