Topics of Interests

DILS provides a forum for the discussion of data management on the life sciences, including open problems and technical solutions for integration, query processing, and analytics. In particular, the thirteenth edition of DILS will focus on Big life science data coming from diverse data sources, e.g., genomic data collections, biomedical literature, or clinical records, and in the challenges for transforming Big data into actionable insights.

Topics of interest include, but are not limited to:

  • Challenges and opportunities with Big life science data

  • Big life science data integration and management  

  • Authenticity, privacy, security, and trust in Big life science data

  • Knowledge graphs from Big life science data

  • Knowledge representation and discovery from  Big life science data

  • Knowledge extraction for Big life science data

  • Ontology mappings and evolution

  • Quality assurance in integrated life science repositories

  • Architectures and data management techniques for the life sciences

  • Query processing and optimization

  • Question answering over Big life science data

  • Exposing Big life science data (APIs, Linked Open Data, SPARQL endpoints)

  • Metadata and Provenance Management of life science repositories

  • Analytics of large-scale life science data

  • Ethical, legal and social issues with biomedical data integration.

  • Data integration challenges and applications in various life-sciences

  • Applications using Big life science data

  • Description of the European projects

Industry papers, demos and application/experiences are also welcome to DILS 2018. They will be selected according to industry-compliant assessment criteria.

Paper Submission and Publication

Authors are invited to submit original contributions of technical rigor and practical relevance to DILS 2018. Submissions should not have been published previously or be under consideration for publication while being evaluated for DILS 2018. Papers will undergo through a peer-review process and acceptance will be decided in terms of novelty, relevance to the field, rigorousness of the methodology, and quality of reported results. 

Four types of papers will be selected:

  • Full research papers (up to 15 pages)
  • Short research papers and on-going Work (8 pages)
  • Industry/application/experience papers (8 pages)
  • Demos and Posters (4 pages)

Papers are to be prepared using LNCS templates

The proceedings of DILS will be published by Springer in the LNCS/LNAI/LNBI (Lecture Notes in Bioinformatics).

And submitted using the EasyChair site:

Special Issue on “Data Quality of Life Sciences”

Authors of the best papers will be invited to submit an extended version of their papers to the Special issue on “Data Quality on Life Sciences”  of the ACM Journal of “Data and Information Quality (JDIQ)”