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Data integration in the life sciences continues to be important but challe- ing. The ongoing development of new experimental methods gives rise to an increasingly wide range of data sets, which in turn must be combined to allow more integrative views of biological systems. Indeed, the growing prominence of systems biology, where mathematical models characterize behaviors observed in experiments of di?erent types, emphasizes the importance of data integration to the life sciences. In this context, the representation of models of biological behavior as data in turn gives rise to challenges relating to provenance, data quality, annotation, etc., all of which are associated with signi?cant research activities within computer science. The Data Integration in the Life Sciences (DILS) Workshop Series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences.

Bioinformatics --Congresses. --- Computational biology --Congresses. --- Data integration (Computer science) --Congresses. --- Statistical matching --Congresses. --- Bioinformatics --- Data integration (Computer science) --- Statistical matching --- Computational biology --- Computer Simulation --- Computational Biology --- Information Systems --- Data Mining --- Mathematical Computing --- Information Storage and Retrieval --- Medical Informatics Applications --- Computing Methodologies --- Biology --- Information Science --- Biological Science Disciplines --- Medical Informatics --- Natural Science Disciplines --- Disciplines and Occupations --- Computer Science --- Biology - General --- Engineering & Applied Sciences --- Health & Biological Sciences --- Life sciences --- Data processing --- Biosciences --- Sciences, Life --- Medicine. --- Database management. --- Data mining. --- Bioinformatics. --- Life sciences. --- Medicine & Public Health. --- Medicine/Public Health, general. --- Life Sciences, general. --- Data Mining and Knowledge Discovery. --- Information Systems Applications (incl. Internet). --- Database Management. --- Computational Biology/Bioinformatics. --- Science --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Clinical sciences --- Medical profession --- Human biology --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Database management --- Concatenation, File (Statistics) --- Data fusion (Statistics) --- Data matching (Statistics) --- Data merging (Statistics) --- File concatenation (Statistics) --- Fusion, Data (Statistics) --- Imputation, Mass (Statistics) --- Mass imputation (Statistics) --- Matching, Data (Statistics) --- Matching, Statistical --- Merging, Data (Statistics) --- Microsimulation modeling (Statistics) --- Modeling, Microsimulation (Statistics) --- Sampling (Statistics)