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Data Provenance in Healthcare: Approaches, Challenges, and Future Directions [PDF]
Sensors, 2023 Data provenance means recording data origins and the history of data generation and processing. In healthcare, data provenance is one of the essential processes that make it possible to track the sources and reasons behind any problem with a user’s data.
Mansoor Ahmed +4 more
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Data Provenance in Biomedical Research: Scoping Review
Journal of Medical Internet Research, 2023 BackgroundData provenance refers to the origin, processing, and movement of data. Reliable and precise knowledge about data provenance has great potential to improve reproducibility as well as quality in biomedical research and ...
Marco Johns +7 more
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Comparative Analysis and Data Provenance for 1,113 Bacterial Genome Assemblies [PDF]
mSphere, 2022 The availability of public genomics data has become essential for modern life sciences research, yet the quality, traceability, and curation of these data have significant impacts on a broad range of microbial genomics research.
David A. Yarmosh +14 more
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Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance [PDF]
Learning Health SystemsIntroduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues.
Keith Marsolo +14 more
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An auditable and source-verified framework for clinical AI decision support: integrating retrieval-augmented generation with data provenance [PDF]
Frontiers in Artificial IntelligenceArtificial intelligence (AI) has shown promise in supporting clinical decision making, yet adoption in healthcare remains limited by concerns regarding transparency, verifiability, and accountability of AI-generated recommendations.
Fidelis Fidelis Alu, Sunkanmi Oluwadare
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Applied Sciences, 2022 Data provenance is information about where data come from (provenance data) and how they transform (provenance transformation). Data provenance is widely used to evaluate data quality, trace errors, audit data, and understand references among data ...
Deyou Tang +4 more
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A Data Provenance Sanitization Mechanism for High Utility [PDF]
Jisuanji gongcheng, 2018 To improve the low provenance utility provided by existed provenance sanitization mechanisms,a data provenance sanitization mechanism is proposed.PROV-DM model is extended to generalize the dependencies into uncertain dependencies.The rationality of ...
WANG Yixing,SUN Lianshan,SHI Libo
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A Big Data Provenance Model for Data Security Supervision Based on PROV-DM Model
IEEE Access, 2020 Nowadays, big data has become a hot research topic. It gives fresh impetus to the economic and social development. However, the huge value of big data also makes it the focus of attacks. Big data security incidents occur frequently in recent years.
Yuanzhao Gao, Xingyuan Chen, Xuehui Du
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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 +6 more
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A Model To Capture Interaction Between Data Provenance And Workflow Provenance
JISR on Computing, 2014 Provenance means origin. There are two types of Provenance namely Data Provenance and Workflow Provenance. Data Provenance refers to the process of recording and tracking the source or origin of data while workflow provenance means history of workflows ...
Zeeshan Ahmed, Syed Saif ur Rahman
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