Results 11 to 20 of about 362,062 (288)
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.
Margheri, Andrea +4 more
openaire +6 more sources
Data Science Journal, 2013 The Oxford Dictionary defines provenance as “the place of origin, or earliest known history of something.” The term, when transferred to its digital counterpart, has morphed into a more general meaning.
Stratis D Viglas
doaj +3 more sources
, 2020 The provenance of research data is of critical importance to the reproduci-bility of and trust in scientific results. As research infrastructures provide more amalgamated datasets for researchers and more integrated facilities for processing and publishing data, the capture of provenance in a standard, machine-actionable form becomes especially ...
Keith A. Marsolo +5 more
openaire +4 more sources
ACM SIGMOD Record, 2019 Research into data provenance has been active for almost twenty years. What has it delivered and where will it go next? What practical impact has it had and what might it have? We provide speculative answers to these questions which may be somewhat biased by our initial motivation for studying the topic: the need for provenance information in curated ...
Buneman, Peter, Tan, Wang-Chiew
openaire +2 more sources
Provenance Network Analytics [PDF]
Data Mining and Knowledge Discovery, 2018 Provenance network analytics is a novel data analytics approach that helps infer properties of data, such as quality or importance, from their provenance. Instead of analysing application data, which are typically domain-dependent, it analyses the data's provenance as represented using the World Wide Web Consortium's domain-agnostic PROV data model ...
Trung Dong Huynh +4 more
openaire +5 more sources
Querying data provenance [PDF]
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, 2010 Many advanced data management operations (e.g., incremental maintenance, trust assessment, debugging schema mappings, keyword search over databases, or query answering in probabilistic databases), involve computations that look at how a tuple was produced, e.g., to determine its score or existence.
Grigoris Karvounarakis +2 more
openaire +1 more source
Proceedings of the VLDB Endowment, 2022 Successful data-driven science requires a complex combination of data engineering pipelines and data modelling techniques. Robust and defensible results can only be achieved when each step in the pipeline that is designed to clean, transform and alter data in preparation for data modelling can be justified, and its effect on the data ...
Chapman, Adriane +3 more
openaire +4 more sources
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 +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 +3 more
doaj +1 more source
Proceedings of the Conference on Research Data Infrastructure, 2023 The exchange, dissemination, and reuse of biological specimens and data have become essentialfor life sciences research. This requires standards that enable cross-organizational documentation, traceability, and tracking of data and its corresponding metadata.
Ulrich Sax +7 more
openaire +1 more source