my journey to data science · data science is the extraction of actionable knowledge directly from...
TRANSCRIPT
A journey into Data
Science in Libraries
Luis Martinez-Uribe
Data Scientist
Library
Fundación Juan March
Photo with CC BY-NC-SA 2.0 licence taken from https://www.flickr.com/photos/bg2axk/
Second EDISON Conference - 16 March 2017
Outline
Data Science My personal journey
Data Science at Fundación Juan March
Training
Looking ahead
What is Data Science?
Data science is the extraction of actionable knowledge directly from datathrough a process of discovery, or hypothesis formulation and hypothesis testing.
National Institute of Standards and Technology (NIST) Big Data Working Group (2015)
Data Science
Statistics
Computer science
Mathematics
Social science
Software engineering
Ethics
Artificial Intelligence
What is Data Science for?
What is Data Science for?
A pathway to Data Science in Libraries
BSc Mathematics
Social Science Data Librarian
Research Data Management
Data Scientist
MSc InformationSystems
PhD
Sociology
Big Data
Klavans, Richard and Kevin W. Boyack. (2006). “Quantitative Evaluation of Large Maps of
Science.” Scientometrics 68 (3): 475-499.
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Research Data Management
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CURATION
CAPTURE AND STORAGE
ANALYSIS
VIZ AND BI
Tools
KnowledgePortals
01Our users and visitors
02Classifiers
03Search & recommend
04Vizs
05Analysis of social networks
06
Examples of Data Science Activities
Knowledge portals
Our users and visitors
Classification of our content
Keyword generation for events
Abstract
FormatTitle
...
EVENTS WITH KEYWORDS
(training set)
WORD PROCESSING
(stopwords, expressions)
STATISTICALINDICATORS
(frequency, word length, position,)
PREDICTIVE MODELS (machine learning)
CLASSIFIER(80% precision)
Search and recommendation systems
Search
Integrating data from 6.000 events, 500 exhibitions and art catalogues and 5.000 Library items
RecommendationsUsing meaningfull words in the title and keywords.
Interactive web graphs
Twitter networks and real time sentiment analysis
Training and education
Data Science methods
Big Data technologies
PhD in Social Sciences, department of sociology
Develop analitical and visual framework for the social analysis of Big Cultural Data from libraries, archives and museums
Photo with CC BY-SA 2.0 licence taken from https://www.flickr.com/photos/seiho/
datamonster.co
• the is to ...learn all you
can about your data…from where it was first created.
•Embrace the broader reality…all the information that is yet to be stored in technology.”
Looking ahead
Artificial
intelligence
Looking ahead
"The best prophet of the future is the past." Lord Byron
Thanks
@luismart
es.linkedin.com/in/luismartinezuribe