Results 71 to 80 of about 51,124,910 (229)

Building Trusted Research Environments - Principles and Best Practices; Towards TRE ecosystems

, 2021
The paper acts as a guide for UK data custodians and other organisations involved in data sharing and information governance both within and beyond the health sectors.
UK Health Data Research Alliance, NHSX
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Leonhard Med, a trusted research environment for processing sensitive research data

Journal of Integrative Bioinformatics
This paper provides an overview of the development and operation of the Leonhard Med Trusted Research Environment (TRE) at ETH Zurich. Leonhard Med gives scientific researchers the ability to securely work on sensitive research data.
Okoniewski Michal J., Wiegand Anna, Schmid Diana Coman, Bolliger Christian, Bovino Cristian, Belluco Mattia, Wüst Thomas, Byrde Olivier, Maffioletti Sergio, Rinn Bernd   +9 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Identifying patient-level data risks in trusted research environments: Worked examples with synthetic data

Digital Health
Objective This study examined and illustrated real-world risks of unintended patient-level data egress from Trusted Research Environments (TREs) and Secure Data Environments (SDEs), using synthetic data to recreate cases encountered in PIONEER, the HDR ...
M. Baragilly, A. Topham, S. Gallier, E. Sapey   +3 more
doaj   +1 more source

Performing trustworthiness: governance theatre versus governance maturity

Data & Policy
Universities, governments, and health research infrastructures increasingly invoke the language of “trusted,” “secure,” and “safe” research environments to legitimise access to sensitive data.
Elizabeth Green, Felix Ritchie
doaj   +1 more source

Trusted Launch of Generic Virtual Machine Images in Public IaaS Environments [PDF]

Cloud computing and Infrastructure-as-a-Service (IaaS) are emerging and promising technologies, however their faster-pased adoption is hampered by data security concerns.
Aslam, Mudassar, Paladi, Nicolae, Morenius, Fredric, Gehrmann, Christian   +3 more
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Data visiting governance: a conceptual framework

Human Genomics
As genomic research scales globally, legal constraints such as data localization provisions in data privacy and other laws and ethical imperatives around privacy and sovereignty increasingly challenge traditional models of data sharing.
Donrich Thaldar
doaj   +1 more source