Beyond Interaction Design: Beyond Human-Computer Interaction
Beyond Interaction Design: Beyond Human-Computer Interaction
Heterogeneous database integration in biomedicine
Computers and Biomedical Research
Journal of Biomedical Informatics
Integration of biological sources: current systems and challenges ahead
ACM SIGMOD Record
E-mail interviewing in qualitative research: A methodological discussion: Research Articles
Journal of the American Society for Information Science and Technology
Methodological Review: Data integration and genomic medicine
Journal of Biomedical Informatics
Biological data management: research, practice and opportunities
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Exploring Heterogeneous Biological Data Sources
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Linking clinical data using XML topic maps
Artificial Intelligence in Medicine
Human Factors in Four Cases of E-Collaboration in Biomedical Research: A Qualitative Study
International Journal of e-Collaboration
Enhancing scientific information systems with semantic annotations
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Metadata based management and sharing of distributed biomedical data
International Journal of Metadata, Semantics and Ontologies
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Biomedical researchers often work with massive, detailed and heterogeneous datasets. These datasets raise new challenges of information organization and management for scientific interpretation, as they demand much of the researchers' time and attention. The current study investigated the nature of the problems that researchers face when dealing with such data. Four major problems identified with existing biomedical scientific information management methods were related to data organization, data sharing, collaboration, and publications. Therefore, there is a compelling need to develop an efficient and user-friendly information management system to handle the biomedical research data. This study evaluated the implementation of an information management system, which was introduced as part of the collaborative research to increase scientific productivity in a research laboratory. Laboratory members seemed to exhibit frustration during the implementation process. However, empirical findings revealed that they gained new knowledge and completed specified tasks while working together with the new system. Hence, researchers are urged to persist and persevere when dealing with any new technology, including an information management system in a research laboratory environment.