Data vs. Statistics?
Data is raw information that are analyzed to create statistics. It can be numeric/quantitative or qualitative or spatial/geospatial.
Statistics are data presented in a meaningful way, often in tabular, graphical or other visual format.
Types of health data
- Surveys
- Populations
- Providers
- Vital Statistics
- births, deaths, marriages, divorces
- Registriers
- incidence and prevalence of diseases
- Health records
- Administrative
- Patient
Data Collection Mechanisms
Surveillance - Public health surveillance refers to the collection, analysis, and use of data to target public health prevention. It is the foundation of public health practice.
CDC Surveillance Resource Center
The Surveillance Resource Center provides members of the public health surveillance community organized, easy access to guidance developed by CDC and its partners for improving the practice of surveillance.
Surveys
Surveys and Data Collection Systems
Includes Populations Surveys, Vital Records, Provider Surbeys and Historical Surveys
Data Resources from NIH and NLM
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Big Data to Knowledge Program ResourcesThe Big Data to Knowledge (BD2K) Centers of Excellence have developed new approaches, methods, software tools and related resources including publications, data standards, and educational resources to advance Big Data Science in their relevant biomedical area of focus.
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Data in Motion: New approaches to advancing scientific, engineering and medical progressThe National Academies of Sciences, Engineering, and Medicine's Board on Research Data and Information (BRDI) convened a public virtual workshop on October 14-15, 2020, to address how researchers in different domains are utilizing data that undergo repeated processing, often in real-time, to accelerate scientific discovery.
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Data Literacy & ManagementFrom Health Services Research Information Central (HSRIC) - The information on this page is intended to serve as an introduction to the topics of data science, data literacy, data management, data sharing, and research reproducibility. Though the emphasis is on health data, information from the broad data science community is included.
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NIH Data Sharing PolicyNIH has issued a new Final NIH Policy for Data Management and Sharing, which will require NIH funded researchers to prospectively submit a plan outlining how scientific data from their research will be managed and shared. On January 25, 2023, the new policy will come into effect and replace the 2003 NIH Data Sharing Policy currently in effect.
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NNLM RD3NNLM RD3: Resources for Data-Driven Discovery has been developed to foster learning and collaboration in data science. In order to support sharing, curating, and annotating biomedical data, NNLM RD3 serves as a resource for librarians, library students, information professionals, and interested individuals to learn about and discuss: library roles in data science; fundamentals of domain sciences; emerging trends in supporting biomedical research.