While academic librarians have supported campus start-ups and entrepreneurs since before the dot-com boom, the title “entrepreneurship librarian” is a relatively new one. When I started in that role at University of Toronto Library (UTL), St. George Campus, I was given a lot of freedom to define the role as I saw fit. I started by reaching out to the growing network of campus-linked accelerators formalized under the campus entrepreneurship office. READ MORE: How entrepreneurship librarians help campus accelerators grow | University Affairs
Right now, one of the most discussed trends is that of data – big data, small data, data analytics, predictive data. It’s all relevant, it’s all important and it should be on all our radars. Data is constantly growing and, as it does, we are finding new ways to harness it and fulfill our potential. Within this, two significant themes emerge which we shall explore here:
- Using data to improve your current awareness service
- Your current awareness service including more data, and different types of data
My Comment: An excellent article providing an overview of some services data analysts may provide. My role as a Research Analyst includes the following data related activities: analyzing data sets to provide insights to the public and fulfill client requests; using data to tell stories; analyzing click rates to determine content relevancy; peer comparison; crafting factual statements for business development and marketing collateral and presentations; sourcing, organizing and managing data sets; and the list goes on!
Data science is a growing career field that pays well. If you are interested in programming, math, and/or statistics, this career could be perfect for you. There are, however, three different data science roles for you to consider. READ: The Skills You’ll Need and the Salary You Can Expect as a Data Scientist | LifeHacker
We do so much in library school—take classes, work, study, and figure out how to market ourselves when we graduate. In this post, I’d like to talk about how I became a data librarian, and what you can learn about data while still in library school! READ: Things You Can Do as a Library Student to Prepare for a Career as a Data Librarian | hls
When someone finds out I’m a librarian, they automatically think I know everything there is to know about, well, books. The thing is, I don’t. I got into libraries because of the technology.
My career in libraries started with the take off, a supposed library replacement, of ebooks. Factor in the Google “scare” and librar*s were going to be done forever. Librar*s were frantic to debunk that they were no longer going to be useful, insert perfect time and opportunity to join libraries and technology.
I am a Systems Librarian and the most common and loaded question I get from non-librarians is (in 2 parts), “What does that mean? and What do you do?” READ MORE: I’m a Librarian. Of tech, not books. | LITA Blog
Data scientist, according to a 2012 Harvard Business Review article, is the sexiest job of the 21st century. Given that its authors are Thomas H. Davenport and D.J. Patil, the declaration is hardly surprising. Nonetheless, the IT industry is besotted with the term, and is expecting huge shortages of skilled workers.
A less well-known paper, “The future of employment: how susceptible are jobs to computerization?,” was published less than a year later by two Oxford academics (data scientists, perhaps). The authors, Carl Benedikt Frey and Michael A. Osborne, examine 702 detailed occupations in the U.S. labor market and estimate that about 47 percent of total U.S. employment is at risk from computerization “over some unspecified number of years, perhaps a decade or two.” Nearly 100 occupations, covering a wide range of skills from manual to mental, showed a 95 percent or higher probability of computerization. READ MORE: The Sexiest (And Last?) Job Of The 21st Century | TechCrunch.
So you know that you want to be a librarian, but have you thought about specializing in a certain field? Maybe you have an interest in emerging technologies or you want to work with researchers and students across the disciplines? Data visualization is a hot topic in librarianship, and specializations in data analytics and visualization is an exciting area of growth in the profession. I sat down with four visualization specialists who work within the University of Michigan Library system to get an idea of what their jobs entail.
Given the overwhelming response to Bryan’s post, “What is a Librarian?” and Michael’s follow up post, “Librarians: We Open Access,” a few more of the LITA bloggers thought we’d weigh in on our roles and how they fit within the profession. READ MORE: Further Thoughts On Tech Roles + Librarianship | LITA Blog.
What professional roles do you play as a librarian/information professional? How have they changed during your career? And perhaps most important, how do you see them changing and evolving in the future?
These issues are discussed in an intriguing recent article in New Library World, “A systematic literature review informing library and information professionals’ emerging roles.” Evgenia Vassilakaki and Valentini Moniarou-Papaconstantinou, of the Library Science & Information Systems Department of TEI of Athens, Greece, uncovered their findings from peer-reviewed literature published between 2000 and 2014.
Although a variety of libraries were included, the authors state that “the majority of the literature focused on academic libraries.” All of the papers are in English, and “the majority of studies reported on research conducted in the United Kingdom and North America.”
Their findings have implications given the changes taking place in work, society and education, and how those changes affect our institutions. Six emerging roles were discovered, all of which would seem to be applicable within many types of libraries and information centres…READ MORE: Emerging roles and possible futures for librarians and information professionals | Emerald Group Publishing
Are you good at math? Like, really good at math? Do you also know Python and, oh yeah, have deep knowledge of a particular industry?
On the off chance that you possess this agglomeration of skills, you might have what it takes to be a data scientist. If so, these are good times. LinkedIn just voted “statistical analysis and data mining” the top skill that got people hired in 2014.
Glassdoor reports that the average salary for a data scientist is $118,709 versus $64,537 for a programmer. A McKinsey study predicts that by 2018, the U.S. could face a shortage of 140,000 to 190,000 “people with deep analytic skills” as well as 1.5 million “managers and analysts with the know-how to use the analysis of big data to make effective decisions.” READ MORE: So you wanna be a data scientist? A guide to 2015s hottest profession | Mashable