Data is supporting strategic decision making in libraries,
and the increasing prevalence of visualisation tools
offers quicker, easier and more accessible routes to data
analysis. Jisc has been developing its library analytics
offering, visualising data using tools such as Tableau.
These visualisations can save staff time and enable data to
be shared with more people, more widely, in an engaging
format. The session will present case studies illustrating
how libraries have used the tools to communicate statistical
information and the value and impact they have delivered.
Siobhan Burke, Jisc
UKSG 2018 Breakout- Visualising the data: how accessible insights can really deliver impact for libraries- Burke
1. Visualising the data
How accessible insights can really deliver impact for libraries
Siobhán Burke
By W.Rebel - Own work,CC BY 3.0, https://commons.wikimedia.org/w/index.php?curid=11702269
3. What is it?
"Data visualization is the
presentation of data in a
pictorial or graphical
format.”
Source: SAS https://www.sas.com/en_us/insights/big-data/data-visualization.html
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
4. Data proliferation
»“According to an estimate, the global annual rate of data
production in the year 2015 was 5.6 Zettabytes.That was
almost double the rate of growth just three years back in
the year 2012.”
1 Zettabyte = 1 000 000 000 000 000 000 000 bytes
Source:Visualr https://visualrsoftware.com/advantages-data-visualization/
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
5. Top 5 Advantages of DataVisualization
1. The Brain is programmed for visualisation
2. Data visualisations support visual learners
3. Spot insights that might be missed in
traditional reports
4. Data visualisation can identify areas to
take action
5. Data visualisation increases productivity
Source: Salesforce https://www.salesforce.com/hub/analytics/data-visualization-advantages/
"Organizations that use visual
data discovery tools are 28
percent more likely to find
timely information than those
who rely solely on managed
reporting and dashboards.”
(Source:
https://www.tableau.com/sites/default/file
s/media/8604-ra-business-intelligence-
analytics.pdf)
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
6. Raw data is hard to read
Source: “Effective DataVisualisation” course from Understanding ModernGov
How many threes?
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
7. Raw data is hard to read
Source: “Effective DataVisualisation” course from Understanding ModernGov
Now how many threes?
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
8. Benefits of visualising your data
»Answers a question
»Poses new questions
»Explore and discover
»Communicate information
»Support decisions
»Increase efficiency
»Inspire
Source: Jisc https://www.jisc.ac.uk/guides/data-visualisation/the-benefits-of-visualisation
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
9. Libraries, JUSP and Library Data Labs
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
10. Visualising data for libraries
»Libraries are increasingly data-driven and need to
evidence the value they bring to their institution
»Wider dissemination of findings to new audiences e.g.
senior staff in and beyond the library
»Libraries both generate and consume large amounts of
data
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
11. Where does Jisc come in?
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
12. HESA & Jisc Business Intelligence
HESA Heidi
HESA data:
• Performance
data on
students
• Destinations
of leavers
• Staff,
finance and
estates
• Original
delivery
platform
• Includes non-
HESA data:
e.g.
o NSS
o SCONUL
• Jisc & HESA
collaboration
• Widening
Business
Intelligence
capability
• Interactive,
visualisations
Heidi
Plus
Analytics
Labs
• Agile project
development
• 12 week cycle
• CPD
opportunity
• Access to
Tableau,
Alteryx & data
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
13. Library Data Labs
»Purpose
› To derive library insights with library data and
› Create interactive, visualised dashboards to be available via Heidi
Plus
»Labs took place July – October 2016
› 23 institutions
› 29 participants
› 5 teams + 1 Jisc team
»Further library team April – July 2017
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
14. The data
»Data Catalogue: http://heidi-ckan.dev.jisc-betas.net/
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
15. The rationale for JUSP
»Engaging more and new stakeholders in conversations
around usage of e-resources
»Can develop visualisations specific for the UK HE library
community and in a national context
»Avoid duplication of effort across the sector
»JUSP team have expertise that might not be readily
available in libraries
»Previous JUSP visualisations had limited flexibility and
functionality
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
16. JUSP – previous visualisations
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
17. JUSP: sample visualisations
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
Select years
Switch publisher
View detail
19. Visualisations: IRUS-UK
Select years
Select item type
Select Repository
and/or Month
View detail
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
21. Library feedback
6
Library Data Labs
participants
30 minute
telephone
interviews
11
Fed back from
JUSP CAG
9
Interviews post-launch
of data visualisations
JUSP Pilot
study
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
22. Reasons for taking part in Library Labs
»Help to make evidence based decisions
»Exploring what is possible with available data
»CPD and opportunity to experiment
»Opportunity to network
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
23. Value of the Library Labs
It was a really useful opportunity to
meet with colleagues in other
institutions, find out about what they're
doing, what they're able to do in house
and where we've got similar issues.
It gave us a way to show the value and
impact of academic libraries and
explore that further. It felt like a once in
a lifetime career opportunity.
It was a massive step forward. It opened
a lot of doors, a lot of eyes, and it's kick-
started a lot of work.
Overall how valuable was the Library Labs cohort that you took part in?
Very valuable 5 interviewees
Quite valuable 1 interviewee
Neither
Quite valuable
Not very valuable
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
24. Skills gained from participation
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
Tableau skills 5 interviewees
Agile working methods 6 interviewees
Data manipulation skills 6 interviewees
Data visualisation skills 5 interviewees
Alteryx skills 2 interviewees
Collaborating with/learning from other
institutions
6 interviewees
Knowledge of the national data landscape for
library purposes
5 interviewees
25. What impact did Library Labs have?
»Realising the possibilities
»Understanding the data
»Working across the institution
»Agile methods
It’s led us to think about how we use data, not just in the
library but across the directorate, in an entirely different
way. It’s helped to improve our reporting and
communication processes. Instead of long reports, we’re
able to use infographics. We’re able to present information
to the university in a way that staff can access.
It's an improved awareness of what
we could do with the data, and an
underlying awareness of how
important it is that data is accurate,
properly structured and that you're
comparing like with like… It's
realising how important data is, and
we need to be thinking right at the
beginning what we want to do with it,
knowing those questions we want to
answer, to make sure that we are
collecting the stuff that we need.
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
26. Library Data Lab user story examples
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
As a Library
manager/director
Library manager Library manager
When measuring success supporting theTEF
return
I am assessing research
performance
I want to identify comparable
institutions
link library
performance data with
NSS and HESA data
to assess University,
discipline and individual
citation performance
So I can benchmark my library
facility by size, usage
levels, budget, provision
of different resource
types and satisfaction
with library facilities
show how library
resources and services
contribute toTEF
measure progress
against citation KPIs
and REF aspirations.
27. Value of the JUSP visualisations
»Delivering new insights
»Communicating with new audiences
»Time saving
»Access to data
»More staff making use of JUSP
“prompts me to ask other
questions about the
numbers that I possibly
wouldn’t have seen when
they appeared as tables
of numbers alone."
“The visual representation of data will improve liaising
with schools over the usage of titles or packages as they
succinctly deliver the point you want to share."
“Having one resource
that gathers data and
converts it directly into
graphs and charts is time
and effort saving."
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
28. Impact of the JUSP visualisations
»Changed work practices
»More meaningful approach to usage
»Easier communication and wider use
“The visualisations have changed
work practices because they save
time as the visualisation is already
created and can be instantly revised
to accommodate a change in date
range, publisher or other criteria”.
“The visualisation of
comparison with other
institutions will be valuable
to assess usage of larger
packages therefore aiding
future investment
decisions”.
“saves the time and
effort of becoming
proficient inTableau."
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
29. …and finally
»Database and book visualisations available in JUSP
› Further impact study will be carried out later in 2018
»For Analytics Labs, sign up to our mailing list for updates
and future calls for participants:
JISC-HESA-BUSINESS-INTEL@JISCMAIL.AC.UK
Or visit: https://www.jisc.ac.uk/rd/projects/business-
intelligence-project
Visualising the data: how accessible insights can really deliver impact for libraries10/04/2018
30. jisc.ac.uk
Keep in touch
Contact me
Siobhán Burke
Library support services programme
manager
Siobhan.burke@jisc.ac.uk
24/04/2018 Visualising the data: how accessible insights can really deliver impact for libraries
Editor's Notes
The session will briefly explain and demonstrate how impactful visualising data can be, using 2 different initiatives from Jisc as our basis - Namely the JUSP service and the Library Data Labs project.
I will briefly explain what these initiatives involved before focussing on the impact that they have had and are still having for the libraries involved.
Although the initiatives are distinct, there are commonalities with the benefits of data visualising which they both demonstrate.
But firstly, I just want to explain a little about data visualisation, what it is and why it is important.
So is data visualisation just the next shiny new thing and it will soon be forgotten? Why is it important?
Or a billion terabytes
There is lots of information available on this topic. This is just one example, from Salesforce, explaining the advantages of visualisation.
The key points are that we are able to process visual information much more quickly than text.
We can also pick out patterns more easily this way.
[Course quote - People remember 20% of what they read, but around 80% of what they see and do. ]
Apparently, 65% of us are visual learners – so by using this method of communication, you’re already targeting a majority of people.
Visuals are processed 60,000 times faster that written text.
9
Answers a question
Visualisation can provide a quick, high level summary of the main information contained in the data.
Poses new questions
Quite often the initial data investigations can lead to more questions and further exploration.
Explore and discover
Sometimes the data shows some unexpected patterns and outliers – data points which are well outside the normal data range. Exploring these data points can lead to new discoveries.
Communicate information
Graphical representations of data are more effective as a means of communication than long textual files. A story can be told more efficiently, and the time to understand a picture is a fraction of the time that it takes to understand the textual data.
Support decisions
Visualisation can provide quick answers and can improve situational awareness. This in turn can lead to faster and timely decisions.
Increase efficiency
A well designed chart can save a lot of time otherwise needed to read pages of numbers and long textual reports. This time can be better spent on making sound business decisions.
Inspire
Sometimes you may come across a visualisation that really appeals to you or presents the data in a different and more effective way and challenges your own practice. It can be useful to use this inspiration to enhance the way you present the data.
Using innovative data visualisations can make your audience more enthusiastic about what you are trying to communicate to them. This in turn can inspire your audience to take action based on your more persuasive visualisation.
So where do libraries come in?
Why is this relevant for libraries?
First point… indeed, this was one of the reasons behind Library Data Labs, as a follow-on from the Jisc-funded LAMP project.
Jisc has been involved in data services for libraries for many years, JUSP having started back in 2010 and IRUS-UK after that.
More recently, Jisc has also been involved in wider analytics initiatives such as learning analytics and Business Intelligence. And it’s the Business Intelligence project, a partnership with HESA, the Higher Education Statistics Agency in the UK, from which the Library Data Labs project came from.
Jisc collaborated with HESA to redevelop their statistics platform Heidi launching the Heidi Plus service in 2015.
Jisc also identified a further opportunity in partnership with HESA to offer an ‘analytics experimentation area’ for staff from Higher Education institutions to come together to explore the data and tools available from Jisc and HESA.
As experienced Heidi users, it was University planners who were involved in the first 2 cohorts. These were successful in producing interactive, visualised dashboards addressing specific questions planners wanted answers to. Some of the dashboards are available to HESA users on the Heidi Plus platform.
Following this initial success, we wondered if we could replicate the success for libraries and so we put out a call in 2016.
We had the same goal of wanting to produce dashboards that wold be of national interest and suitable for Heidi Plus. We didn’t know if it would be a success and if we would get interest, but we did and we produced a number of dashboards and it provided a unique opportunity for the participants to gain experience, knowledge and skills they otherwise wouldn’t have.
We had 29 participants across 5 teams in the Library Data Labs cohort in 2016 and we also had a team from Jisc, which included staff from JUSP and IRUS-UK.
In a later cohort of different university staff, we had a library team and they produced dashboards as well.
This is just “visualisation” of the data that was used by the Library Data Labs teams. It’s a mix of library-specific and national data sets such as the NSS and other HESA data, and also publication data and usage data.
Many of the dashboards were exploratory and proof-of-concept dashboards only i.e. they weren’t scalable, but nonetheless interesting.
The next slide will show one of the dashboards from the April cohort. I have to ask you NOT to take pictures of the screen. The reason is that access to the dashboards requires a licence agreement by each individual with HESA.
Data visualisation can facilitate discussions around usage, providing broader understanding and analysis with e.g.
Senior management; Subject librarians while liaising with academics
Clear opportunities to support HEI processes, create greater efficiencies
Early feedback from the Community Advisory Groups agree with the above points about wider dissemination and use, the usefulness of the interactivity and the potential to spot trends just not possible with faced with columns of data.
Columns and numbers
Data heavy
Hard to read
----------------
e.g. JUSP reports with cells of data – images
Limitations (of existing charts & graphs)
Not exportable
Static – NOT interactive
So the JUSP team took the experience of Library Data Labs and put it to use for the service.
For both the JUSP visualisations and Library Data Labs we sought feedback from users and participants. For JUSP, there was a pilot study and also several 1:1 interviews. And similarly, we interviewed 6 participants or alumni as we like to call them, from Library Data Labs.
The institutions came from a range of institution types.
Interviewees had a range of reasons for taking part, but were mainly interested in understanding what might be possible with the data available to them, and how they might use data to make evidence based decisions.
All agreed that their expectations had been met or exceeded.
Libraries are under pressure to demonstrate impact and use data to inform their developments and decision making.
They collect a lot of data but much of it remains un-used. Interviewees were keen to understand what they could achieve.
Library Labs offered the chance to try out ideas in a safe environment, and allowed them to benefit from quality training.
It also offered an opportunity to share experience and network in a creative and stimulating environment.
All interviewees found the experience valuable, both on a personal and institutional level. Interviewees welcomed the opportunity for professional development and appreciated that the skills learned had direct relevance to their institution.
Q Which of the following skills or knowledge do you feel you learnt or acquired as part of taking part in Library Labs>
All interviewees agreed that they had developed transferable skills from the experience, and appreciated the opportunity for CPD. The acquisition of skills had given them confidence to start new work and present data in different ways.
All had taken inspiration and skills back to their institution. Interviewees agreed that Library Labs had given them an appreciation of the possibilities open to them, the skills to interrogate and present data in new ways, and the confidence to implement new ways of working.
Library Labs allowed interviewees to see the possibilities of their data and realise their ideas. Participants had used their skills to think about data in new ways, create dashboards and visualisations using Tableau and other BI tools, improve reporting, respond to department and institutional level challenges, and influence senior management decisions.
Participation in the project had given interviewees the skills to understand and to manipulate data. Coupled with the user story approach, they were equipped to understand what questions they wanted to answer, how data could help to answer those questions, and how BI visualisations could present that data in an accessible way.
The acquisition of skills had given interviewees the confidence to get involved with projects both within the library and across the institution. Knowledge and understanding allowed them to ‘speak the right language’ and work with other departments such as strategic planning and IT.
An introduction to Agile was an unexpected benefit of taking part, and interviewees had implemented user stories, Trello, and SCRUM principles in their institutions. This was seen as particularly relevant to keep focus on short projects and for cross team working.
The rationale for developing the JUSP visualisations has certainly been met as demonstrated by the feedback received.
Responses show that they like the interactivity, the pre-created graphics that can be easily repeated for a variety of criteria really useful.
Not spending all the time creating graphs enables time to spend on the more important task of analysis and communicating the results to initiate the converations that will help libraries to manage their collections.