Data After Dark (January 2016) Content Mapping
This short course was presented to an open audience of graduate students, research professionals, and administration staff interested in learning about Big Data. This mapping shows how the BD2K Open Educational Resources can align with the presented objectives for the Data After Dark course.
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Learning Objective #1
What is big data and how does it relate to your research?
Learning Content Recommendations:
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Learning Objective #2
Learn about emerging NIH data science activities and requirements
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Learning Objective #3
Be more impactful with your science and your data
Learning Content Recommendations:
- BDK03 - Ethical Issues In Use Of Big Data
- BDK28 - Translating the Question
- BDK18 - Visualization And Interpretation
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Learning Objective #4
Do better research by leveraging big data concepts
Learning Content Recommendations:
- BDK24 - Computing Concepts for Big Data
- BDK27 - Context-based selection of data
Course Presentations
The following links provide the materials used to teach the two night course. These presentions and activitives are examples of re-use and remixing of the BD2K Open Educational Resources with other material added in.
