ReviewInternational journal of medical informatics2009
Incorporating collaboratory concepts into informatics in support of translational interdisciplinary biomedical research.
Review in International journal of medical informatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Academic pharmacist competencies in ordinary and emergency situations: content validation and pilot description in Lebanese academia.BMC medical education · 2023Article
- GEM-NET: Lessons in Multi-Institution Teamwork Using Collaboration Software.ACS central science · 2019Article
- To share or not to share? Expected pros and cons of data sharing in radiological research.European radiology · 2018Article
- Research Infrastructure for Collaborative Team Science: Challenges in Technology-Supported Workflows in and Across Laboratories, Institutions, and Geographies.Seminars in nephrology · 2015Review
- Interprofessional collaboration in research, education, and clinical practice: working together for a better future.The Journal of chiropractic education · 2015Article
- Biomedical Data Sharing and Reuse: Attitudes and Practices of Clinical and Scientific Research Staff.PloS one · 2015Article
- Author Credit for Transdisciplinary Collaboration.PloS one · 2015Article
- An open debate about the object and purpose of global health knowledge in the context of an interdisciplinary research partnership on HIV/STI prevention priorities in Peru.Globalization and health · 2014Article
- Metadata based management and sharing of distributed biomedical data.International journal of metadata, semantics and ontologies · 2014Article
- DIPSBC--data integration platform for systems biology collaborations.BMC bioinformatics · 2012Article
- Increasing Opportunity through Interdisciplinary Research: Climbing Down and Shattering a Tower of Babel.Frontiers in psychiatry · 2011Article
- A system dynamics analysis determining willingness to wait and pay for the implementation of data standards in clinical research.Health research policy and systems · 2010Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Due to its complex nature, modern biomedical research has become increasingly interdisciplinary and collaborative in nature. Although a necessity, interdisciplinary biomedical collaboration is difficult. There is, however, a growing body of literature on the study and fostering of collaboration in fields such as computer supported cooperative work (CSCW) and information science (IS). These studies of collaboration provide insight into how to potentially alleviate the difficulties of interdisciplinary collaborative research. We, therefore, undertook a cross cutting study of science and engineering collaboratories to identify emergent themes. We review many relevant collaboratory concepts: (a) general collaboratory concepts across many domains: communication, common workspace and coordination, and data sharing and management, (b) specific collaboratory concepts of particular biomedical relevance: data integration and analysis, security structure, metadata and data provenance, and interoperability and data standards, (c) environmental factors that support collaboratories: administrative and management structure, technical support, and available funding as critical environmental factors, and (d) future considerations for biomedical collaboration: appropriate training and long-term planning. In our opinion, the collaboratory concepts we discuss can guide planning and design of future collaborative infrastructure by biomedical informatics researchers to alleviate some of the difficulties of interdisciplinary biomedical collaboration.
Indexed as
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.