Context-aware big data quality assessment: a scoping review
The term data quality refers to measuring the fitness of data regarding the intended usage.
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could …
[HTML][HTML] Drug discovery FAQs: workflows for answering multidomain drug discovery questions
Highlights•Workflows that answer frequently asked high priority questions in drug
discovery.•Ontologies can offer another approach to retrieving drug discovery …
discovery.•Ontologies can offer another approach to retrieving drug discovery …
Taverna workflows: Syntax and semantics
This paper presents the formal syntax and the operational semantics of Taverna, a workflow
management system with a large user base among the e-Science community. Such formal …
management system with a large user base among the e-Science community. Such formal …
[PDF][PDF] IQM3: Information quality management maturity model.
In order to enhance their global business performance, organizations must be careful with
the quality of their information since it is one of their main assets. Analogies to quality …
the quality of their information since it is one of their main assets. Analogies to quality …
Quality-of-information aware networking for tactical military networks
In tactical military networks, decisions must often be made quickly based on information at
hand. It is a challenge to provide decision makers with a notion of the quality of the …
hand. It is a challenge to provide decision makers with a notion of the quality of the …
[HTML][HTML] Data quality-aware genomic data integration
A Bernasconi - Computer Methods and Programs in Biomedicine …, 2021 - Elsevier
Genomic data are growing at unprecedented pace, along with new protocols, update
polices, formats and guidelines, terminologies and ontologies, which are made available …
polices, formats and guidelines, terminologies and ontologies, which are made available …
[HTML][HTML] User driven multi-criteria source selection
Source selection is the problem of identifying a subset of available data sources that best
meet a user's needs. In this paper we propose a user-driven approach to source selection …
meet a user's needs. In this paper we propose a user-driven approach to source selection …
Effective quality-aware sensor data management
Sensor networks are widely used for heterogeneous applications in diverse domains. One
sensor network may provide data for applications and services that often have different or …
sensor network may provide data for applications and services that often have different or …
Information quality in proteomics
Proteomics, the study of the protein complement of a biological system, is generating
increasing quantities of data from rapidly developing technologies employed in a variety of …
increasing quantities of data from rapidly developing technologies employed in a variety of …
A methodology and architecture embedding quality assessment in data integration
N Martin, A Poulovassilis, J Wang - Journal of Data and Information …, 2014 - dl.acm.org
Data integration aims to combine heterogeneous information sources and to provide
interfaces for accessing the integrated resource. Data integration is a collaborative task that …
interfaces for accessing the integrated resource. Data integration is a collaborative task that …