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Research

choice magazine podcast Questions

This week I was interviewed for the ALA choice podcast, a podcast that the that is a weekly program featuring in-depth conversations about contemporary trends, best practices, and case studies important to academic librarians. Hosted by Bill Mickey, the Editorial Director at Choice The topic was about trends in big data and the role of the library, and it was really fun to participate in, and the panel I was on included Caroline Muglia from the University of Southern California Libraries as well as Andy Rutkowski and Eimmy Karina Solis from USC libraries. ... (more)

What do we mean when we talk about Big Data?

What do we mean when we talk about Big Data? The following blog post about this article provides the following definition of big data: “High volume data that frequently combines highly structured administrative data actively collected by public sector organisations with continuously and automatically collected structured and unstructured real-time data that are often passively created by public and private entities through their internet.” The article is behind a paywall, but the blog is pretty clearly laid out. ... (more)

Covalent Data, first impressions

Covalent Data is a tool to search over research topics. It seems to have the following features: Is a DB of grants, papers, people and institutions. claims to use machine learning to tie these entities together. search results don’t seem to have a way to be exported, so for example though the grant awards results do list the amount of each grant, to get a total amount against a search term, you would need to do the work of extracting each data point manually. ... (more)

academic ghost towns, Google scholar and Mendeley

I’m on a mission to clear out my instapapper backlocg, so I’m going to be blogging olds rather than news. There was a nice piece in the Atlantic last month talking about how Google could provide a better social experience by activating it’s latent networks, rather than mimicking facebook. But think about Scholar as a latent social network. Each paper contains its own social network that Google already crawls. Every bibliography is filled with other social networks. ... (more)