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DataScience@NIH Blog

Driving Discovery Through Data

2 Fostering Biomedical Data Science Collaborations: Using Data Science to Improve Biomedical Science
Michelle C. Dunn / 01.02.15

With the biomedical sciences transitioning to a digital enterprise, the need for data science (computational and quantitative) skills in research is becoming increasingly apparent. While a few individuals may possess all the skills needed to appropriately analyze the large amounts of data being generated, most projects will require teams of specialists – both data science and biomedical – as equal collaborators. These teams need individuals with enough overlap in knowledge and skills to be able to communicate effectively with one another.

12 Computational and Quantitative Collaborative Projects
Michelle C. Dunn / 02.09.15

Math Bio Collaboration

By Michelle Dunn, Vinay Pai, and Phil Bourne

2 NIH to Celebrate a Special Pi Day!
Michelle C. Dunn / 03.09.15

0 Inaugural Activities of the NIH Data Science Training Center
Michelle C. Dunn / 01.13.15

Last week saw a couple of inaugural activities of the NIH Data Science Training Center. Originally envisioned as a collection of in-person courses and training activities held at the NIH, the concept of the NIH Data Science Training Center quickly expanded to include online offerings to increase the reach of this national resource and to help meet the international need for training in biomedical data science. The NIH Data Science Training Center aims to support the development of open course materials, the running of online/in-person courses, and the discovery of educational resources.

1 Data Science @ NIH 2014 – The Year in Review (aka 10 Months as ADDS)
Phil Bourne / 12.31.14
 

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