Like many academic library bloggers, I occasionally fancy myself as a "trend spotter" and am prone to attempts at predicting the future.

Regular readers of my blog know that I am interested in discovery, and the role academic libraries should play in promoting discovery for our patrons.

At library school, I was taught the concept of nested boolean.

Google Scholar is increasingly becoming a subject that an academic librarian cannot afford to be ignorant about.

I have been recently thinking of the types of expertise academic librarians have and how recent trends in academic librarianship have made things harder.

Every librarian worth his salt knows that despite the rise of web scale discovery services, Google and Google Scholar are often the go-to tools of researchers.

Almost 4 years ago in 2010, I posted A few heretical thoughts about library tech trends.

Is known item searching really a big issue in Web Scale discovery?

In my last post, I mused about blue ocean strategies and how libraries should consider spending time focusing more on blue ocean strategies.

Curious about academic librarianship in Singapore as a career?

Library web scale discovery systems are great. They break down the silos between books , articles and other content types. They provide the "one-search" box experience that our users claim to want. But problems exist (See my overview - 8 things we know about web scale discovery systems in 2013  and outstanding issues ). In my experience, one of the most sticky issues is the question of getting relevant results.