Traditionally, many industrial hygienists (IHs) work with very limited data sets. Technological advancements are resulting in the collection of a larger variety and volume of data in a shorter amount of time. This capability has led to data sets that are so large and complex that they become difficult to process using traditional methods of analysis. In the big data world, the IH professional could be analyzing and managing data sets consisting of structured, unstructured, and semi-structured data. This work enables conscientious decisions on how to best protect worker health and predict future exposures.
Here’s a Sneak Peek of What’s Inside:
- Identifying IH/OEHS roles as they apply to the collection, use, and management of big data
- Recognizing new opportunities to utilize and improve big data
- Creating and implementing a data management plan
- Developing staff resources to use synthesized information in order to make data-driven decisions
- Communicating the outputs of big data analysis
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