Tag: Scientific IT Services

Making of inside|out No. 29

“Knowing what’s going on in IT at ETH Zurich”: The 29th newsletter inside|out is online.

Background icons for the current newsletter inside|out No. 29
Background icons for the current newsletter inside|out No. 29
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More than just data: Online Workshop Series

The amount of data generated in scientific research projects is steadily increasing. For this reason, Data Management (DM) is nowadays an essential component of every research activity. Moreover, most funding agencies require a Data Management Plan (DMP) for new grant applications.

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Introduction to openBIS 20.10.0 RC Webinar

We would like to invite you to a webinar where we will introduce the major new features of the latest openBIS release. You will also have the chance to talk and ask questions to our openBIS developers. The webinar will take place on Thursday 12.11.2020 at 14:00-15:30.

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Video Recording Leonhard Med Info Event

The Scientific IT Services of ETH Zurich and LOOP have offered an info event for principal investigators and other potential applicants who are preparing research proposals for the current LOOP call

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Awareness in Research Data Management

All universities deal intensively with the topic of IT security and people’s awareness. One of the campaigns running at ETH is the PROTECT YOUR BRAINWORK. campaign. Let’s take a look at the EPFL library in Lausanne and their solution for IT security awareness.

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Data security for confidential research data

Leonhard Med is a secure, powerful and versatile data and computing platform for research on confidential data.
Are you sure if all your research data is public or if some data is confidential?

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Leonhard Med: Secure Scientific Platform for Confidential Data

A secure, powerful and versatile IT infrastructure for research on confidential data at ETH Zurich

Providing IT solutions for scientific research on confidential data (e.g. human biomedical data) is a considerable challenge. This is because it requires fulfilling three main criteria that span a wide area of expertise, and that are difficult to achieve simultaneously:

  1. security and compliance
  2. flexibility and ease of use and
  3. scalability and performance
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