#LibrariesInLife: The Convenience Imperative

Smartphone users

Technology has turned learning outside in

We used to bring all our learning, content and media resources to various “watering holes” where folks would gather to consume it. Classrooms, libraries, newspapers, magazines, TV networks, bookstores and record stores. Why? Because it was the fastest way to distribute a wide variety of materials. It wasn’t wrong. It made sense. But it also left us with embedded cultural and institutional ideas and biases about what learning is, who is involved in our workflows, what counts as “good enough” and even why we learn.

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Moving out in front

2016-02-2 moving out in front

We’re at a tipping point

I frequently get to talk to librarians from very different types and sizes of libraries. When I ask about their concerns, there is one refrain I hear consistently: “We’re being asked to do more with less.” When we dig into that sentiment a bit deeper, I usually find that:

  • MORE = More outreach, more hands-on service, more training, more embedded assets, more learning guides, more interaction, more proactive recommendations.
  • LESS = Less money, less staffing, less space, less time.

Doing new things with fewer resources requires a paradigm shift. Why? Well, doing the same things with fewer resources can sometimes be managed through quantitative measures; trimming services, sharing costs, cutting back along the margins. But if you’re being asked to change both your input (funding) and output (services), that’s essentially a recipe for an entirely new way of thinking about how your organization needs to work.

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Four interlibrary loan trends to watch in 2016

Top ILL titles for 2015

At least once a year, we query the WorldShare ILL database and see how the trends in interlibrary loan are developing. We count titles a little differently than other lists. Rather than splitting into fiction/nonfiction we look at loan requests vs. copy requests (loans of an entire book vs. a request to copy a single article or part of a larger work). The list of top copy requests is, as you might expect, heavily weighted toward the medical, psychological and scientific realms. It’s the loan requests that are more interesting.

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The library of one

2016-02-06 Chip library of one

What does it mean to be a “library user” today? I think we can all agree it’s a question that is less well-defined than in the past. Which is why OCLC Research points out the necessity of “meeting library users at the point of need.” As Lorcan Dempsey puts it in his book, The Network Reshapes the Library, “We are used to thinking about the user in the library environment … a major part of our challenge moving forward is thinking about the library in the user environment.”

I couldn’t agree more. And if the definition of “library user” is fragmented, we need to think in terms of “what people use” as opposed to “what the library traditionally does.” Which leads me to three questions:

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Learning isn’t learning until you use it

2016-02-05 Sharon learning

The learning field is complex, thorny and ever-shifting. Decades – centuries – of intense research, policy, systems, and debate have tried to answer the question, “What is the best way to learn?” and its corollary, “What is the best way to teach?” New theories and related initiatives crop up every few years, each arriving with a bloom of new terminology intended to enlighten but destined to confuse.

This topic excites me because my WebJunction team and I think about learning a lot as we work to offer meaningful learning opportunities for library staff. With that background, I offer one word that I believe is absolutely essential to effective teaching and learning: intention.

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Transforming data into impact

2016-02-03 Skip intro post 4

Last September, I found an interesting Forbes article, “20 Mind-Boggling Big Data Facts Everyone Must Read.” Most of them were of the “very big numbers” variety; how many billions of connected devices there are, how many photos we took on our smartphones last year, how much is being invested in big data projects, etc. I think we’ve gotten used to the idea that “big data” is really big.

The only fact on the Forbes list I found really “mind-boggling” was the last one: that of all the data collected in the world, only about half a percent is ever analyzed.

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