Computing and networking, data collection and analytics have been booming in the recent decades to manifest the coming big data era. Today, more and more data are being collected and analysed by organisations in order to make critical decisions. However, many challenges still need to be addressed; for example, the difficulty of tracking the versions of data sets in workflows, supporting data scientists in exploring subsets of data locally, sharing reproducible exploration and scaling up, and keeping semantic and physical consistency of views among distributed and multiple data stores. This special issue aims to present solutions to these challenges from both researchers and practitioners.
Suitable topics include, but are not limited to, the following:
- Data to decision management
- Data transformation and analytics pipelines
- Workflow management in service and scientific computing
- Entity resolution/matching and schema matching
- (Big) data provenance and lineage
- Data processing and tracking
- Semantic issues in data provenance
- Semantic issues in APIs
- Data management in data science, AI, data mining and machine learning
- Data management in exploration environments and production environments
- Data and data computing platforms
- Service-oriented architecture for data analytics pipelines
- Data analytics as services
- Trustworthiness of data and analytics
- Reproducible data analytics and decisions
- Traceability from decisions to data
- Understanding and explaining of decisions
- Mining and analysis of contracts and e-contracts
- Entity matching
- Data analytics and pipelines
- Transactions in web services
- Semantic issues in analysis and verification of APIs
- Data provenance and lineage
- Data automata
- Data semantics in multimedia processing
- Functional programming for data processing
- Approximate computing for big data
Important Dates
Submission of manuscripts: 15 April, 2016
Notification to authors: 30 May, 2016
Final version to due: 10 July, 2016
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