London Experience, Day 12: Science Citation Indices
Except for two, the Pratt Students again split off from the UT Science Data scholars today for an afternoon visit to the world headquarters of Thomson Reuters. Again, it was a very hot day, and we were lucky to avoid direct sunlight in their most Bond villain-esque office space.
We also joked about the “Ally McBeal” unisex bathroom – which had fully enclosed stalls that might have once been massage parlors, given the mood lighting, and rectangular faucets that “spilled” water rather than “poured” it.
A fun architectural space, but probably not compliant with the Americans with Disabilities Act. For that matter, I’m confident most of London isn’t compliant with the Americans with Disabilities Act.
I burned through the last pages of notes in my notebook at Thomson Reuters. I was writing in the margins. TR might be best known for the Reuters news service. They also deal in financial risk, legal, tax and accounting, and Intellectual property and science.
One of their big products is the “Impact Factor.” Starting with founder Eugene Garfield in 1955 in his paper in Science, “Citation indexes for science.” This is highly pertinent to my research into networks because they use a “researcher ID.” This can avoid some problems I’ve encountered in cataloging where the author is published under various names that are all the same author. E.g., “J.T Scienceguy” versus “Jeffry T. Scienceguy” or “Jeffry Tomas Scienceguy.” A database sees those as different entities, even though it is indeed the same person.
With a researcher ID, your database does not get complicated, and you can do a lot of data science.
Another area that I’m interested in and need to follow up with TR is the Map of Science – particularly the EU collaboration. They use something called “ScholarONe.”
There is some research analytics, and also they “peek” into repositories – I need some follow up information on how they prioritize repositories based on “who manages, how’s it updated, how frequently, and what’s the quality.” They have a white paper on that but I have yet to find it. It could be useful for my research with DataONE and developing/prioritizing member nodes.
The map of science I need to follow up with Patricia Brannen.
Finally they have some research out of Philadelphia, U.S.A. regarding networks, influence of research over time for individuals. They are not yet that honed in on how to do it for an ad-hoc group of researchers. Disappointing, as that is what I’m hoping to do with research into collaborations resulting from DataONE interactions.