ArticleInternational journal of information management2010
Organization of Biomedical Data for Collaborative Scientific Research: A Research Information Management System.
Article in International journal of information management, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support.Scientific reports · 2025Article
- The Super Spreadsheet: collaborative information infrastructure in translational teams.Frontiers in psychology · 2025Article
- Ten simple rules for managing laboratory information.PLoS computational biology · 2023Article
- Resolving complex research data management issues in biomedical laboratories: Qualitative study of an industry-academia collaboration.Computer methods and programs in biomedicine · 2016Article
- Article
- What drives academic data sharing?PloS one · 2015Article
- Metadata based management and sharing of distributed biomedical data.International journal of metadata, semantics and ontologies · 2014Article
- Djeen (Database for Joomla!'s Extensible Engine): a research information management system for flexible multi-technology project administration.BMC research notes · 2013Article
- Advancing user experience research to facilitate and enable patient-centered research: current state and future directions.EGEMS (Washington, DC) · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.