trends, challenges and developments in technologies that will influence the future of libraries

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Trends, challenges and developments in technologies that will influence the future of

libraries

Dr Jason Zagamijason.zagami.info

LecturerGriffith University

School of Education and Professional StudiesGold Coast

Teaching

Research

Service

Trends, challenges and developments in technologies that will influence the future of

libraries

Using a modified Delphi process, a panel of 53 education and technology experts identified 18 topics very likely

to impact technology planning and decision-making: six key trends, six

significant challenges, and six important developments in technology

NMC Horizon Report

Research Question 1: Which important developments in educational technology will be most important to libraries in the next five years?

Research Question 2: What important developments in educational technology are missing from our list?

Research Question 3: What key trends do you expect to accelerate technology adoption in libraries over the next five years?

Research Question 4: What do you see as the significant challenges that will impede technology adoption in libraries over the next five years?

Trends

Increasing Accessibility of Content

Driving technology adoption in academic and research libraries for five or more years

Long-Term Impact Trend

Open movement

Open sourceFree Software Movement

Open Content Licenses

Creative Commons licenses Open Publication License Against DRM license GNU Free Documentation License Open Game License Free Art License

Open education movement

Open textbooks

Open educational resources (OER)Open CourseWare

MOOCs

Open access movementOpen access publishing

UNESCO Open Access Curricula for Researchers and Librarians

Rethinking Library Spaces

Driving technology adoption in academic and research libraries for five or more years

Long-Term Impact Trend

Active Learning ClassroomsSpaces that are designed to support teaching and learning in an atmosphere conducive to engaging students actively in their own learning

Blended Libraries

5:15

Evolving Nature of the Scholarly Record

Driving technology adoption in academic and research libraries for three to five years

Medium-Term Impact Trend

Shift from text-based materials to research datasets, computer models, laboratory notebooks

Move from the printed record to digital

Online Computer Library Center

Proliferation of user generated content and grey literature

Increasing Focus on Research Data Management

Driving technology adoption in academic and research libraries for three to five years

Medium-Term Impact Trend

Online library databases

Experiments, tests, and simulation data to be represented by audio, video, and other

media and visualisations

How ideas evolve over time and exploring them from different angles

MetadataData Repositories

Student Portfolios Shared Data

Video and Multimedia Data

Increasing Value of the User Experience

Driving technology adoption in academic and research libraries for the next one to two

years

Short-Term Impact Trend

Single search tools

Discovery Environment Usability Tests

Responsive Web Design

Prioritisation of Mobile Content and Delivery

Driving technology adoption in academic and research libraries for the next one to two

years

Short-Term Impact Trend

SMS alerts

Social media

Mobile-friendly websites

Apps

e-books

Challenges

Embedding Libraries in the Curriculum

Those that we understand and know how to solve

Solvable Challenge

Embedding Libraries in the Curriculum

Continuous skill development and assessment over

time to both students and faculty

Australian CurriculumGeneral Capabilities

Improving Digital Literacy

Those that we understand and know how to solve

Solvable Challenge

Improving Digital LiteracyDevelopment of information literacy skills

Video Production

Multimedia ProductionComputer Games

Competition from Alternative Avenues of Discovery

Those that we understand but for which solutions are elusive

Difficult Challenge

Adapt to the new expectations defined by current discovery practices or risk becoming obsolete over time

Competition from Alternative Avenues of Discovery

Competitive relationships between vendors and content providers raises questions over whether search results

presented to users are neutral

Rethinking the Roles and Skills of Librarians

Those that we understand but for which solutions are elusive

Difficult Challenge

Once a new technology rolls over you, if you’re not part of the steamroller, you’re part of the road

Stewart Brand

Rethinking the Roles and Skills of Librarians

Data mining Web development

Provide technological and instructional support for faculty and students

as technology advances

Functional specialists that have a strong digital or technology background

Embracing the Need for Radical Change

Those that are complex to even define, much less address

Wicked Challenge

Embracing the Need for Radical Change

Financial resourcesStaffing models

Leadership

Change management Cultures of continuous change

The problems we have created in the world today will not be solved by the level of thinking that created them

Albert Einstein

Managing Knowledge Obsolescence

Those that are complex to even define, much less address

Wicked Challenge

Managing Knowledge Obsolescence

Ever-changing technological

landscapeInformation

overloadUser-created

content

Continuous flow of new technology and information resources

Differing attitudes and rates of adoption

Technologies

Makerspaces

Time-to-Adoption Horizon: One Year or Less

Makerspaces

Time-to-Adoption Horizon: One Year or Less

Hackerspaces

Hack labs Fabrication labs

Fab Labs

Makerspaces

Time-to-Adoption Horizon: One Year or Less

Hackerspaces

Hack labs Fabrication labs

Fab Labs

24/7/365 Access Community Access

Online Learning

Time-to-Adoption Horizon: One Year or Less

Online Learning

Time-to-Adoption Horizon: One Year or Less

Curating course contentAssisting with media production

Managing course recordingsDeveloping eTextbooksManaging online video collections

Managing copyright

Online Learning

Time-to-Adoption Horizon: One Year or Less

Curating course contentAssisting with media production

Managing course recordings

Blended synchronous learning activities

Developing eTextbooksManaging online video collections

Managing copyright

Information Visualisation

Time-to-Adoption Horizon: Two to Three Years

Information Visualisation

Time-to-Adoption Horizon: Two to Three Years

Updated constantly

Recognise connections and patterns

Immediately discern whether the findings it represents are useful

Movement away from text-heavy presentations towards image-centric strategies

Semantic Web & Linked Data

Time-to-Adoption Horizon: Two to Three Years

Semantic Web & Linked Data

Time-to-Adoption Horizon: Two to Three Years

Infers the meaning, or semantics, of information on the Internet using metadata to make connections and

display related information that would otherwise be elusive or altogether invisible

Help people solve complex problems by presenting connections between seemingly unrelated concepts

Help people solve complex problems by presenting connections between seemingly unrelated concepts

Exponential growth of the Internet, which more than doubles in size every two years

Help people solve complex problems by presenting connections between seemingly unrelated concepts

Exponential growth of the Internet, which more than doubles in size every two years

Popular search engines can only touch about 10% of the Internet; the remaining 90% are websites not indexed

because most of this data is located in library catalogs in formats that cannot be searched, or guarded in secure

areas that cannot be accessed by bots

OpennessMetadata

Location Intelligence

Time-to-Adoption Horizon: Four to Five Years

Location Intelligence

Time-to-Adoption Horizon: Four to Five Years

Mapping of geographic relationships associated with data

Location-based services (LBS) provide content that is dynamically customised according to the user’s location

Wi-Fi cellular networks

RFID Bluetooth Beacons

computer vision

Passive WiFi monitoring

Machine Learning

Time-to-Adoption Horizon: Four to Five Years

Machine Learning

Time-to-Adoption Horizon: Four to Five Years

Computers that are able to act and react without being explicitly programmed to do so

Automatically sift through data and discern important meanings

0:27

Slides available atjason.zagami.info

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