Results 21 to 30 of about 23,858,252 (284)

The Neuroscience Experiments System (NES)–A Software Tool to Manage Experimental Data and Its Provenance

Frontiers in Neuroinformatics, 2022
Computational tools can transform the manner by which neuroscientists perform their experiments. More than helping researchers to manage the complexity of experimental data, these tools can increase the value of experiments by enabling reproducibility ...
Margarita Ruiz-Olazar, Margarita Ruiz-Olazar, Evandro Santos Rocha, Claudia D. Vargas, Claudia D. Vargas, Kelly Rosa Braghetto, Kelly Rosa Braghetto   +6 more
doaj   +1 more source

Data Provenance for SHACL.

, 2022
In constraint languages for RDF graphs, such as ShEx and SHACL, constraints on nodes and their properties are known as “shapes”. Using SHACL, we propose in this paper the notion of neighborhood of a node v satisfying a given shape in a graph G. This neighborhood is a subgraph of G, and provides data provenance of v for the given shape.
Thomas Delva, Anastasia Dimou, Maxime Jakubowski, Jan Van den Bussche   +3 more
openaire   +4 more sources

Trecode: A FAIR Eco-System for the Analysis and Archiving of Omics Data in a Combined Diagnostic and Research Setting

BioMedInformatics, 2022
The increase in speed, reliability, and cost-effectiveness of high-throughput sequencing has led to the widespread clinical application of genome (WGS), exome (WXS), and transcriptome analysis.
Hindrik HD Kerstens, Jayne Y Hehir-Kwa, Ellen van de Geer, Chris van Run, Shashi Badloe, Alex Janse, John Baker-Hernandez, Sam de Vos, Douwe van der Leest, Eugène TP Verwiel, Bastiaan BJ Tops, Patrick Kemmeren   +11 more
doaj   +1 more source

Security-Aware Provenance for Transparency in IoT Data Propagation

IEEE Access, 2023
A successful application of an Internet of Things (IoT) based network depends on the accurate and successful delivery of data collected from numerous sources.
Fariha Tasmin Jaigirdar, Boyu Tan, Carsten Rudolph, Chris Bain   +3 more
doaj   +1 more source

Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done [PDF]

Journal of Data Mining and Digital Humanities
This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recognition infrastructures, as well as ways to reference and acknowledge contributions to the creation and enrichment of data within these systems.
C. Annemieke Romein, Tobias Hodel, Femke Gordijn, Joris J. van Zundert, Alix Chagué, Milan van Lange, Helle Strandgaard Jensen, Andy Stauder, Jake Purcell, Melissa M. Terras, Pauline van den Heuvel, Carlijn Keijzer, Achim Rabus, Chantal Sitaram, Aakriti Bhatia, Katrien Depuydt, Mary Aderonke Afolabi-Adeolu, Anastasiia Anikina, Elisa Bastianello, Lukas Vincent Benzinger, Arno Bosse, David Brown, Ash Charlton, André Nilsson Dannevig, Klaas van Gelder, Sabine C.P.J. Go, Marcus J.C. Goh, Silvia Gstrein, Sewa Hasan, Stefan von der Heide, Maximilian Hindermann, Dorothee Huff, Ineke Huysman, Ali Idris, Liesbeth Keijzer, Simon Kemper, Sanne Koenders, Erika Kuijpers, Lisette Rønsig Larsen, Sven Lepa, Tommy O. Link, Annelies van Nispen, Joe Nockels, Laura M. van Noort, Joost Johannes Oosterhuis, Vivien Popken, María Estrella Puertollano, Joosep J. Puusaag, Ahmed Sheta, Lex Stoop, Ebba Strutzenbladh, Nicoline van der Sijs, Jan Paul van der Spek, Barry Benaissa Trouw, Geertrui Van Synghel, Vladimir Vučković, Heleen Wilbrink, Sonia Weiss, David Joseph Wrisley, Riet Zweistra   +59 more
doaj   +1 more source

Data Provenance for Agent-Based Models in a Distributed Memory

Informatics, 2018
Agent-Based Models (ABMs) assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Data provenance can support ABM by explaining individual agent behavior.
Delmar B. Davis, Jonathan Featherston, Hoa N. Vo, Munehiro Fukuda, Hazeline U. Asuncion   +4 more
doaj   +1 more source

An Interactive and Predictive Pre-diagnostic Model for Healthcare based on Data Provenance

UHD Journal of Science and Technology, 2019
The future of healthcare may look completely different from the current clinic-center services. Rapidly growing and developing technologies are expected to change clinics throughout the world. However, the healthcare delivered to impaired patients, such
Zhwan Namiq Ahmed, Jamal Ali Hussien
doaj   +1 more source

Data Provenance for Sport

CoRR, 2018
Data analysts often discover irregularities in their underlying dataset, which need to be traced back to the original source and corrected. Standards for representing data provenance (i.e. the origins of the data), such as the W3C PROV standard, can assist with this process, however require a mapping between abstract provenance concepts and the domain ...
Andrew J. Simmons, Scott Barnett, Simon Vajda, Rajesh Vasa   +3 more
openaire   +2 more sources

A Trust Framework for Online Research Data Services

Publications, 2017
There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard
Malcolm Wolski, Louise Howard, Joanna Richardson   +2 more
doaj   +1 more source

Decentralised provenance for healthcare data [PDF]

International Journal of Medical Informatics, 2020
The creation and exchange of patients' Electronic Healthcare Records have developed significantly in the last decade. Patients' records are however distributed in data silos across multiple healthcare facilities, posing technical and clinical challenges that may endanger patients' safety.
Andrea Margheri, Massimiliano Masi, Abdallah Miladi, Vladimiro Sassone, Jason Rosenzweig   +4 more
openaire   +4 more sources