This presentation about the Data literacy concept and usage in the context of library and Information science professional and Librarianship. Basic core concepts of data literacy are discussed in this presentation.
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Data literacy 30 nov 2019
1. Data Literacy Session
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
Muhammad Yousuf Ali
PhD Scholar
Library & Information Science (IUB)
2. Data Literacy
Background
Literacy Concept
Data Literacy
Skills Set
Modern Trends in Library
• Big Data
• Text Data Mining
• Link Data
• Open Linked Data
Data Analysis
Data Set
Part – I
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
3. Data Visualization
Data Visualization Practice
Types of different Chart
Infogarphic
Dashboard
Infographics vs Dashboard
Part – II
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
4. Background
IFLA WLIC 2019,
Session 148 Artificial Intelligence & Text mining
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
5. Background
IFLA WLIC 2019,
Session 237, Assessment and Data Visualization for Librarians -
Statistics and Evaluation
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
7. Concept
Literacy
Information
Literacy
Digital
Literacy
Copyright
Literacy
Media
Literacy
Data Literacy
Digital tools exist for access–
finding information.
identify, locate,
evaluate, Information ,Organized
,assessment evaluation,
fair use and fair dealing, obtain permissions
or negotiate licenses when necessary,
recognize infringement of copyright law
Audio, Visual, film,
advertisement literacy
Social Media
Literacy
Fair use of Social Media
literacy
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
8. Concept
Data Literacy
Data literacy as the ability to understand and use
data effectively to inform decisions. It is composed
of a specific skill set and knowledge base that
enables educators to transform data into
information and ultimately into actionable
knowledge (Mandinach & et -al, 2008).
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
9. Concept
Data Literacy
Skill Set
Skills include knowing how to identify, collect,
organize, analyze, summarize, and prioritize data.
They also include how to develop hypotheses,
identify problems, interpret the data, and
determine, plan, implement, and monitor courses
of action.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
12. Data Literacy
In Simple words,
Data literacy is the ability to derive
meaningful information from data, just as
literacy in general is the ability to derive
information from the written word.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
13. Library Data
Resource Data
• Printed collection Numbers--Automation (Marc code, Classification)
• E-Journals Numbers ----ISSN , DOI,
• E-books Numbers ----ISBN
• Database Numbers ----PMID
• E-content Numbers -------URL
• Staff Data Numbers --------Employee ID(Grade)
Usage data
• Library Users Statistics
• Books Check in / Check Out
• Research Data
• Citation Management/ Analysis
• Altmetric
• Pumlux Metric
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
14. Modern Library Trends
Big Data
Big data is data that contains greater
variety arriving in increasing volumes and
with ever-higher velocity. This is known
as the 3 Vs. (Volume, Velocity, Variety)
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
15. Modern Library Trends
Text Data Mining (TDM)
Text data mining involves combing
through a text document or resource to
get valuable structured information. This
requires sophisticated analytical tools that
process text in order to glean specific
keywords or key data points from what are
considered relatively raw or unstructured
formats
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
16. Modern Library Trends
Linked Data
Linked data (often capitalized as Linked
Data) is structured data which is
interlinked with other data so it becomes
more useful through semantic queries.
Open Linked Data
Linked Open Data is a powerful blend of Linked Data and
Open Data: it is both linked and uses open sources.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
17. Modern Library Trends
National Library of France, National Library of Spain, Europeana,
Digital Public Library of Americana, Library of Congress and The
British Library
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
18. Modern Library Trends
Data Set
Any named group of records is called a
data set. Data sets can hold information
such as medical records or insurance
records, to be used by a program running
on the system.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
19. Modern Library Trends
Data Set
Mendeley Google Data Set
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
20. Modern Library Trends
Data Set
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
21. Why do We required Data Literacy?
• To Assess the Collection Usage.
• To Assess the Library Services.
• Modify the Library Services.
• Drill down to the item level to gain a deeper understanding
of performance.
• Present to Library Picture to Top Management
• Decision Making on the Basis of data literacy
• To Become the Part of Provincial /National data.
•
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
22. Modern Library Trends
Data Analysis
Data analysis is the process of
evaluating data using analytical and statistical
tools to discover useful information and aid in
business decision making.
a. ) Descriptive Statistics
b. ) Inferential Statistics
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
23. Modern Library Trends
Data Visualization
Data visualization refers to techniques used
to communicate insights from data through
visual representation. Its main goal is to distill
large datasets into visual graphics to allow for
easy understanding of complex relationships
within the data.
It is often used interchangeably with terms
such as information graphics, statistical
graphics, and information visualization.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
24. Modern Library Trends
Data Visualization
https://www.youtube.com/watch?v=v6Z48h7T4G8
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
25. Types of Library Data
How many Printed collection?
We have huge collection of Books
We have good number of Printed books
We have average number of books
We have small number of Books
We have 22718 books
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
26. Types of Library Data
Library Collection
22718 books
321 new arrivals
27 Journals
8 Databases
1836 e-Journals
7 Professional Staff
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
27. Types of Library Data
User Statistics
2358 visitors
4134 Book Transaction (Issue/Return)
329 Document Delivery
We are working on 12 hours in a day
And 72 hours in week and
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
28. Library Data Visualizations
Use Different Chart
Bar Chart
Pie Chart
Line Chart
Scatter Chart
Doughnut
Bubbles
Geographical Chart
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
29. Library Data Visualizations
Bar Chart Visualization
Month Male Female
Check
In/Out
Jan-19 675.00 892.00 1567
Feb-19 1143.00 1202.00 2345
Mar-19 1089.00 1264.00 2353
Apr-19 1004.00 1030.00 2034
May-19 1099.00 1247.00 2346
Jun-19 989.00 998.00 1987
Jul-19 897.00 993.00 1890
Aug-19 970.00 938.00 1908
Sep-19 1007.00 1004.00 2011
Oct-19 986.00 1082.00 2068
Nov-19 1003.00 984.00 1987
0
2000
4000
6000
8000
10000
12000
14000
16000
Nos. of Books
New Arrival
•Demographical Information
•Categorical data
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
30. Library Data Visualizations
Use Different Chart
Pie Chart
Partition of the Data
Separate Representation of Data
Slice the Specific Data
1567
1345
475
1232
1076
1588
2053
1198
358
124 2571
Education
Engineering
Fiction
History
Islam
Language
Law
Marketing
Medicine
1567
1345
475
1232
1076
1588
2053
1198
358
124
2571
Education
Engineering
Fiction
History
Islam
Language
Law
Marketing
Medicine
Reference
Education
11%
Engineering
10%
Fiction
3%
History
9%
Islam
8%Language
12%
Law
15%
Marketing
9%
Medicine
3%
Reference
1%
Social
Science
19%
2-D Pie
Doughnut Chart
3-DPie
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
31. Library Data Visualizations
Use Different Chart
Line Chart, Scatter Dots,
Compare
Trends
Difference
Correlations
Line Chart
892
1202
1264
1030
1247
998 993
938
1004
1082
984
0
200
400
600
800
1000
1200
1400
1 2 3 4 5 6 7 8 9 10 11
Series1
Series2
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
32. Library Data Visualizations
Use Different Chart
Bubbles Chart,
Bubble charts can facilitate the understanding of social,
economical, medical, and other scientific relationships.
• Magnitude Measure
• No Negative value or Zero value
Bubbles Chart Geographical Chart
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
33. Library Data Visualizations
Use Different Chart
Geographical Chart,
Bubble charts can facilitate the understanding of social,
economical, medical, and other scientific relationships.
• International Popularity/Fame
• Marketing/Business Area Goal
Geographical Chart
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
34. Library Data Presentation
Infographic
An infographic (information graphic) is a
representation of information in a graphic
format designed to make the data easily
understandable at a glance. People use
infographics to quickly communicate a
message, to simplify the presentation of large
amounts of data, to see data patterns and
relationships, and to monitor changes in
variables over time.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
36. Library Data Presentation
Dashboard
A data dashboard is an information
management tool that visually tracks,
analyzes and displays key performance
indicators (KPI), metrics and key data
points to monitor the health of a business,
department or specific process.
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaborations of PLC, AFFINITTY LIBRARY & Goethe Institut
39. InfoGraphics vs Dashboard
InfoGraphics Dashboard
InfoGraphics is a static
Presentation of data
Dashboard is dynamic tool of
data representation.
InfoGrahpics is present to the
top management
Dashbarod is runtime data for
the researcher, database
administrator and other
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaboration of PLC, AFFINITTY LIBRARY & Goethe Institut
40. References : -
Mandinach, E. B., & Gummer, E. S. (2013). A systemic view of implementing data literacy in
educator preparation. Educational Researcher, 42(1), 30-37.
Mandinach, E. B., Honey, M., Light, D., & Brunner, C. (2008). A conceptual framework for
data-driven decision making. In E. B. Mandinach & M. Honey (Eds.), Data-driven school
improvement: Linking data and learning (pp. 13–31). New York, NY: Teachers College Press.
Saunders, L., & Estell, A. N. (2019). Copyright Literacy of Library and Information Science
Students in the United States. Journal of Education for Library and Information
Science, 60(4), 329-353.
Bridges, L. M. (2012). Librarian as professor of social media literacy. Journal of Library
Innovation, 3(1), 48.
Raza, Z., Mahmood, K. and Warraich, N. (2019), "Application of linked data technologies in
digital libraries: a review of literature", Library Hi Tech News, Vol. 36 No. 3, pp. 9-12.
https://doi.org/10.1108/LHTN-10-2018-0067
Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaboration of PLC, AFFINITTY LIBRARY & Goethe Institut
41. Data Literacy Session by Muhammad Yousuf Ali 30, Nov 2019 Collaboration of PLC, AFFINITTY LIBRARY & Goethe Institut