Main Topics

Main topics of the Symposium include (but not limited with) the following:

Big Data

  • Definition
  • Access
  • Processing, analysis and visualization
  • Sharing and reuse
  • Quality
  • Standards
  • Preservation
  • Long-term stability
  • Security
  • Ownership
  • Intellectual property rights
  • Research data as big data

Big Data ecosystem

  • Big Data: issues and challenges
  • Big Data algorithms & programming models
  • Novel techniques, processes and methods for collecting and analyzing Big Data
  • Big Data search, mining, analytics & interactive visualization
  • Big Data & decision making
  • Big Data & competitive intelligence
  • Big Data analytics & preserving privacy
  • Big Data & security implications
  • Big Data & risk management, fraud prevention
  • Big Data & deep learning
  • Big Data & cloud based analytics
  • Big Data & Internet of Things (IoT)
  • Big Data & cognitive computing
  • Big Data & business intelligence
  • Big Data & federated databases
  • Big Data & spatial and temporal aspects
  • Big Data & visual data discovery
  • Big Data & rich media analytics
  • Big Data & knowledge modeling, engineering
  • Big Data & knowledge creation, representation, reasoning, sharing and transfer.
  • Big Data analytics & industry knowledge
  • Big Data in enterprise models and practices
  • Big Data analytics for new product developments & its knowledge implications
  • Use cases & applications in knowledge based Big Data analytics

Big Data Infrastructure

  • Infrastructures and networks for Big Data management
  • European Infrastructure for e-Science Digital Repositories (e-SciDR)
  • Systems and tools for BigData management
  • BigData storage, back up and recovery
  • Big Data management in the cloud
  • Cloud computing and Big Data
  • Big Data repositories
  • Registry of research data repositories (re3data)
  • DOIs for research datasets (DataCite)
  • Data integration
  • Validating the veracity of data
  • Sorting out noise and malicious information from valid, actual information
  • Designing and managing a platform of services

Information Management and the Big Data

  • Big Data implications for information management
  • Big Data and information management in smart solutions
  • Big Data & knowledge generation
  • Data lifecycle management
  • Data management policies
  • Data management planning tools
  • Digital curation and preservation of Big Data
  • Digital forensics
  • BigData management in science, technology and medicine
  • Big Data management in social sciences, arts and humanities
  • Digital libraries and Big Data
  • Innovative and collaborative Big Data management applications
  • Privacy issues
  • Funding Big Data research and management
  • Support services for researchers, students and general public

Big data analytics

  • Integration and utilization of fine micro data from different sources
  • Rich representation for fine micro data from different sources
  • Information mapping for big data analytics
  • Interdisciplinary research working with big data
  • Methodologies for observational data analytics
  • Online and offline human behavior modeling in multi-disciplines
  • Large-scale network analysis for big data
  • Big data analytics for science and technology, e-commerce and market intelligence, e-government and politics, security and Public safety, smart health and well being

Transformation and impact

  • Engagement of IS groups in interdisciplinary collaborations with big data
  • New leadership of IS groups in big data era
  • Changes of IT function in big data era

Access to Big Data

  • Open access to publicly funded research data
  • Institutional repositories for research data
  • Scholarly publishing and research data
  • Research data journals
  • Open source digital curation tools (BitCurator)
  • Open source research data management systems (CKAN)
  • Policies and strategies for open access to research data
  • Research data metrics

Knowledge Discovery in Big Data

  • Knowledge discovery techniques
  • Mining large research data sets
  • Research data metadata standards (CERIF)
  • Semantic enrichment of research data
  • Knowledge representation
  • Search, indexing and retrieval of research data
  • Data triage
  • Metadata harvesting
  • Metadata extraction
  • Metadata export
  • Metadata management
  • Metadata interoperability and standards for research data

Education for Information Management for Big Data

  • Education of Big Data scientists
  • Education of Big Data librarians
  • BigData curation education
  • Education for biomedical and environmental informatics
  • Bioinformatics education
  • Digital humanities, arts and e-social sciences
  • Challenges and opportunities of Big Data on LIS education