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Nov
26
0 comments Tags: Data, data_science, eScience, science librarians
This is the second blog post in a series authored by 7 individuals who received scholarships from the New England Region of the National Network of Libraries of Medicine (NNLM NER) to attend the Library Carpentry Training held at Brown University on October 22nd and October 23, 2018. In this installment, a scholarship recipient describes the tools… Read More »
Posted in: Blog
Nov
21
0 comments Tags: Data, data_science, eScience, library carpentry, science librarians
This is the first blog post in a series authored by 7 individuals who received scholarships from the New England Region of the National Network of Libraries of Medicine (NNLM NER) to attend the Library Carpentry Training held at Brown University on October 22nd and October 23, 2018. In this installment, a scholarship recipient describes… Read More »
Posted in: Blog
Oct
30
0 comments Tags: Data, data_science, eScience, science librarians
This is the eleventh blog post in a series authored by twelve individuals who received scholarships to attend the 2018 Science Boot Camp held at Brandeis University on June 13-15, 2018. This article was written by Jaclyn Wilson, an Access Services Associate at MIT, and MLIS Student at Simmons College. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ As a paraprofessional in… Read More »
Posted in: Blog
Oct
16
0 comments Tags: Data, data_science, eScience, science librarians
This is the tenth blog post in a series authored by twelve individuals who received scholarships to attend the 2018 Science Boot Camp held at Brandeis University on June 13-15, 2018. For more about this year’s Science Boot Camp resources or other upcoming events, please visit the NNLM NER website, or contact anyone in the NNLM… Read More »
Posted in: Blog
Nov
28
Assessment, Big Data and Bias
Posted by karencoghlan on November 28th, 2018 0 comments Tags: Data, data_science, eScience, RDM
We are currently living in the age of big data. Vast amounts of data are collected on everyone, everyday. The data may come from the phone, tracking where you are in an effort to connect to the closest tower. It might be in the security cameras or the software used by a child writing a… Read More »
Posted in: Commentary, Data