Finding needles in haystacks

The more information is collected, the more difficult it becomes to sift it, organize it, and find what you need.

Statistical data analysis (data analytics) is the process of this type of analysis, encompassing natural language processing and more.  This is what comes after gathering “big data”.  Imagine taking the contents of 2 or more online databases, combining them, and then sifting through them for relationships, correspondences, linkages, similarities and differences and more.

Data analysts are increasingly in demand by large research institutes, big business, and government agencies.  How will we fill the same need for humanities scholars?  Where could we find the funding?  How do we make this happen?

I for one am very interested in pursuing this type of career, but would like to do so in support of scholars, so I’m very interested in your thoughts about this.

Categories: Data Mining, Research Methods, Session Proposals, Session: Talk, Text Mining, Visualization | Tags: , |

About Jody DeRidder

Interested in developing and working with: 1) linked data, 2) ontology interoperability, 3) and statistical natural language programming to analyze large quantities of information in support of researcher needs, and find ways (clustering, topic mapping, other visualizations) to make that content more useful. Background: MS in Computer Science, MS in Information Sciences, 10 years in building and supporting digital libraries.

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