Results 31 to 40 of about 192,753 (304)

Provenance of correlations in psychological data [PDF]

open access: yesPsychonomic Bulletin & Review, 2005
Two distinct families of statistical processes are considered in the production of psychophysical time series data (Gilden, 1997, 2001; Gilden, Thornton, & Mallon, 1995). We inquire whether the spectral signatures of the underlying dynamics are better described in terms of short-range autoregressive moving-average (ARMA) processes or long-range fractal
Thomas L, Thornton, David L, Gilden
openaire   +2 more sources

Decentralised provenance for healthcare data [PDF]

open access: yesInternational 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   +4 more
openaire   +3 more sources

The Foundations for Provenance on the Web

open access: yes, 2010
Provenance, i.e., the origin or source of something, is becoming an important concern, since it offers the means to verify data products, to infer their quality, to analyse the processes that led to them, and to decide whether they can be trusted.
Luc Moreau, Moreau, Luc
core   +1 more source

Connecting Scientific Data to Scientific Experiments with Provenance [PDF]

open access: yes, 2007
As scientific workflows, and the data they operate on, grow in size and complexity, the task of defining how those workflows should execute (which resources they should use, where those resources should be in preparation for processing etc.) becomes ...
Mehta, G   +17 more
core   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Electronically Querying for the Provenance of Entities [PDF]

open access: yes, 2006
The provenance of entities, whether electronic data or physical artefacts, is crucial information in practically all domains, including science, business and art.
Simon Miles, Miles, Simon
core   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

A survey on data provenance in IoT [PDF]

open access: yesWorld Wide Web, 2019
AbstractInternet of Things (IoT), as a typical representation of cyberization, enables the interconnection of physical things and the Internet, which provides intelligent and advanced services for industrial production and human lives. However, it also brings new challenges to IoT applications due to heterogeneity, complexity and dynamic nature of IoT.
Rui Hu   +3 more
openaire   +2 more sources

Provenance for Online Decision Making

open access: yes, 2015
It is commonly believed that provenance can be utilised to form assessments about the quality, reliability or trustworthiness of data. Once presented with contradictory or questionable information, users can seek further validation by referring to its ...
Huynh, Trung Dong   +5 more
core   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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