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It is our belief that individual solutions serve translational medicine best by embracing the vision of the semantic web, ideally through a close collaboration between data producers, data engineers and data consumers.
The results presented here demonstrate how collaboration between data warehouse architects and clinical researchers created a process for the establishment of data marts that facilitated access to electronic health record data for research at our institution.
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data accuracy: the accuracy of CEBS data is handled by collaboration between the data depositors and internal curation staff.
The main domains in the previously presented data governance framework (as shown in Figure 1) are described as: data accuracy: the accuracy of CEBS data is handled by collaboration between the data depositors and internal curation staff.
Based on our experience, we believe the best practice in establishing a transformation involves close collaboration between the data holder and the research data network architects.
This event fostered collaboration between clinicians and data scientists that will support ongoing research in the ICU setting.
RichRelevance, which powers personalization for retailers, uses WibiData to manage complex user data, and enable collaboration between their engineering and data science teams.
They agree that the collaboration between different types of data measurements works well and the content accuracy is acceptable.
This problem is compounded by the limited collaboration between stakeholders, which prevents data sharing in this field.
The launch of CGHub will promote the sharing of cancer data, collaboration between cancer researchers, and potentially facilitate the personalized medicine.
Participation in multicenter ventriculostomy registries should be encouraged as this will facilitate larger sample sizes, standardized data collection, exploration of heterogeneity, increased collaboration between researchers and individual patient data meta-analysis.
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