From Search to Discovery in our Future Library From Search to - PDF document

From Search to Discovery in our Future Library

From Search to Discovery W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Search Known Specific Focused W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Search Discovery Known Unknown Specific Vague Focused Open W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Search Discovery Locating a known item W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Browsing items by a known author Search Discovery Locating a known item W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Browsing items by a known author Search Discovery Locating a Browsing items known item similar to a known item W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Browsing items by Browsing items a known author curated by a person you’re interested in Search Discovery Locating a Browsing items known item similar to a known item W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Browsing items by Browsing items a known author curated by a person you’re interested in Search Discovery Browsing items Locating a Browsing items by physical known item similar to a known item appearance W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery The Continuum Browsing items by Browsing items Browsing a known author curated by a random person you’re items interested in Search Discovery Browsing items Locating a Browsing items by physical known item similar to a known item appearance W e see a spectrum of di ff erence between Search & Discovery, Search being more targeted and specific and Discovery being more open and vague. This slide also illustrates some examples of the di ff erent types of needs of users and how they might vary along that spectrum.

From Search to Discovery Why Discovery Is Important At UTS Library we are implementing an Automated Storage & Retrieval System that will be located underground and adjacent to the future Library on Broadway. Currently the excavation is completed and the builder has started on the underground vault which is to be completed by around September 2013.

From Search to Discovery Six aisles, 12,000+ bins: ~ one million print items After that, a Dematic ASRS will be installed over a number of months with six 15m cranes services the aisles and over 12,000 bins. In mid - 2014 we will start loading this system with the first batch of our less well used print items from the Blake ( City Campus ) Library. The next load will come from the Kuring - Gai Campus Library at the end of 2015 when we merge both libraries in the City. W e estimate that the system will cope with annual relegations from the open shelves in the Library until well beyond 2040, thus keeping research collections on - site and within easy reach of Library patrons. With up to 80 % of our print collection in this facility, we believe the investment is wasted if it isn’t used and to use it to its fullest extent, the items in it need to be discovered online. The serendipity of physical browsing has to be replaced in imaginative ways, online, by new features that excite curiosity and encourage requests from the facility.

From Search to Discovery How Discovery Is More Playful W e think that successful Discovery is going to be more playful than our Search interfaces. So we are looking for inspiration beyond library applications and programs. And it isn’t a challenge to be solved by more benchmarking and best practice measurement. So, we’ve looked the the ways people are using mobile devices to discover new content when convenient to them. W e think there is a lot to learn from new content aggregators and discovery applications like Zite http://www.zite.com/ The UI is playful, intuitive and assists the application to learn more about your interests and needs. Other examples include StumbleUpon http:// www.stumbleupon.com/ and Artsy http://artsy.net/

From Search to Discovery How Discovery Is More Playful Another example is how we are learning to discover new music by online platforms like iTunes, Pandora http://www.pandora.com/, rdio http:// www.rdio.com/ and Spotify https://www.spotify.com/au/ These online services assist users in exploring musical content well beyond the playlists of most radio stations or your own music library.

From Search to Discovery How Discovery Is More Playful Other helpful discovery platforms like Pinterest http://pinterest.com/ and Urbanspoon http://www.urbanspoon.com/ or Y elp http://www.yelp.com.au/ have much to teach us about discovery too.

From Search to Discovery W e have even more help! In 2012 we started an Artist - in - Residence program and it continues in 2013. Our first Artist Chris Gaul focussed on looking at discovery in libraries in very di ff erent ways. As an artist he had a very di ff erent approach to the same challenge that we did as librarians and we found this to be extremely helpful in improving our understanding, providing a new perspective and many original ideas, like the discovery of text based content through sound.

From Search to Discovery How Our Artist In Residence Has Helped W e have even more help! In 2012 we started an Artist - in - Residence program and it continues in 2013. Our first Artist Chris Gaul focussed on looking at discovery in libraries in very di ff erent ways. As an artist he had a very di ff erent approach to the same challenge that we did as librarians and we found this to be extremely helpful in improving our understanding, providing a new perspective and many original ideas, like the discovery of text based content through sound.

From Search to Discovery How Our Artist In Residence Has Helped Libraries Rational Efficient Logical W e have even more help! In 2012 we started an Artist - in - Residence program and it continues in 2013. Our first Artist Chris Gaul focussed on looking at discovery in libraries in very di ff erent ways. As an artist he had a very di ff erent approach to the same challenge that we did as librarians and we found this to be extremely helpful in improving our understanding, providing a new perspective and many original ideas, like the discovery of text based content through sound.

From Search to Discovery How Our Artist In Residence Has Helped Libraries Artists Rational Emotive Efficient Intuitive Logical Questioning W e have even more help! In 2012 we started an Artist - in - Residence program and it continues in 2013. Our first Artist Chris Gaul focussed on looking at discovery in libraries in very di ff erent ways. As an artist he had a very di ff erent approach to the same challenge that we did as librarians and we found this to be extremely helpful in improving our understanding, providing a new perspective and many original ideas, like the discovery of text based content through sound.