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Your search keyword '"Langedijk, Annette"' showing total 9 results
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9 results on '"Langedijk, Annette"'

1. Secure Platform for Processing Sensitive Data on Shared HPC Systems

Author

Scheerman, Michel, Zarrabi, Narges, Kruiten, Martijn, Mogé, Maxime, Voort, Lykle, Langedijk, Annette, Schoonhoven, Ruurd, and Emery, Tom

Subjects
Computer Science - Cryptography and Security, Computer Science - Computers and Society
Abstract

High performance computing clusters operating in shared and batch mode pose challenges for processing sensitive data. In the meantime, the need for secure processing of sensitive data on HPC system is growing. In this work we present a novel method for creating secure computing environments on traditional multi-tenant high-performance computing clusters. Our platform as a service provides a customizable, virtualized solution using PCOCC and SLURM to meet strict security requirements without modifying the exist-ing HPC infrastructure. We show how this platform has been used in real-world research applications from different research domains. The solution is scalable by design with low performance overhead and can be generalized for processing sensitive data on shared HPC systems imposing high security criteria

Published
2021

3. Your secrets are safe with us: Tools for research with sensitive data

Author

Langedijk, Annette, Huijser, Dorien, Zundert, Joris van, Bron, Esther, Kesteren, Erik-Jan van, Boeschoten, Laura, and Dijkstra, Freek

Subjects
federated learning, sensitive data, data sharing, open science, research data management, synthetic data
Abstract

Many areas of research deal with sensitive data that cannot be shared widely. They have to be protected due to privacy, intellectual property, or other reasons. In this event, organized by SURF and Utrecht University on March 21st 2023, we discussed several projects, tools and techniques to work with sensitive data in research. In this deposit, you can find the slides presented during this event. Programme Chair: Annette Langedijk 13:30-13:40: Welcome by Matthijs van Otegem,Director University Library Utrecht 13:40-13:55: The Data Privacy Project(Dorien Huijser, Utrecht University) 13:55-14:20: Tools-to-Data(Joris van Zundert, Huygens Institute) 14:20-14:45: The why, what and how of Federated Learning: the Netherlands Consortium of Dementia Cohorts (Esther Bron, Erasmus Medical Center, Health-RI) 14:45-15:15:Break 15:15-15:40: Synthetic data (Erik-Jan van Kesteren, Utrecht University, ODISSEI SODA team) 15:40-16:05: D3I -A platform for digital trace data donation (Laura Boeschoten, Utrecht University) 16:05-16:30: Overview of privacy-preserving techniques (Freek Dijkstra, SURF)

Published
2023
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4. A Collection of Open Science Use Cases

Author

Melo, André, Rubbert, Sebastian, Akhmerov, Anton, Hebels, Dennie, Culina, Antica, De Boer, Jan, Veenman, Myrthe, Schumacher, Lea, Geiger, Sandra, Dahrendorf, Maike, Smal, Iris, De Winter, Joost, Bazilinskyy, Pavlo, Goedhart, Joachim, Krawczyk, Przemek, Luijsterburg, Martijn, Connor, Liam, Van Leeuwen, Joeri, Brick, Cameron, Kellerborg, Klas, Perry-Duxbury, Meg, Van Baal, Pieter, Mendrik, Adriënne, Sclocco, Alessio, Van Meersbergen, Maarten, Langedijk, Annette, Jeroen Sondervan, Anke Versteeg, Carlos Martinez-Ortiz, Loek Brinkman, and Melanie Imming

Subjects
Open Science, Use Cases, Best Practices
Abstract

The Open Science Awards recognize researchers or research students who have used Open Science to make their research more accessible, transparent or reproducible. In the context of the first National Open Science Festival a call for Use Cases was published allowing all researchers and Phd students from Dutch universities, UMCs and research institutes to submit their use case. The call was looking for use cases that explored challenges and difficulties as well as positive experiences and successful outcomes. This collection of Use Cases is the result of this call. Use Cases in this Collection: Open science practices in Majorana research; Studies of Populations of Individuals Birds; A webtool for interactive data visualization and data sharing; Open science and open data for human factors research; cBiT: The Compendium for Biomaterial Transcriptomics; The Student Initiative for Open Science (SIOS); A practical tool for standardising future costs in economic evaluation; Making open psychological datasets more accessible and useful for research and teaching; An open-source, open-participation competition for Fast Radio Burst detection.

Published
2020
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5. An Optical Character Recognition Software Benchmark for Old Dutch Texts on the EYRA Platform

Author

Cuper, Mirjam, Mendrik, Adriënne M., van Meersbergen, Maarten, Klaver, Tom, Pawar, Pushpanjali, Langedijk, Annette, and Wilms, Lotte

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, OCR, historical texts, benchmark, quality, evaluation, replication, performance metrics
Abstract

Digitized collections of printed historical texts are important for research in Digital Humanities. However, acquiring high-quality machine readable texts using currently available Optical Character Recognition (OCR) methods is a challenge. OCR Quality is affected by old fonts, old printing techniques, bleedthrough of the ink, paper quality, old spelling, multiple columns and so on. It is unclear which OCR methods perform best. Therefore, we are currently in the process of setting up a benchmark to enable the evaluation of the performance of OCR software on old Dutch texts. The benchmark is being set-up on the EYRA benchmark platform (eyrabenchmark.net) developed by The Netherlands eScience Center and SURF.

Published
2020
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