Transcript Presentation

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Informatics underlying
Data Science (ists)
Peter Fox (RPI)
SciDataCon 2016, Denver CO
Mon. Sep. 12 2016
“Defining Data Professionals”
Modern informatics methodology
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Use cases
Stakeholders
Distributed authority
Access control
Ontologies
Maintaining Identity
But really it’s not just one field
Informatics
IT Cyber
Infrastru
cture
(CI)
Cyber
Informatics
Core
Informatics
Science
Informatics
Functional requirements
Science,
Benefit to
others
• CI = Discipline neutral, e.g. web server, database, wiki
• Cyberinformatics = mapping to discipline neutral aspects
• Core informatics = Reasoning engine, semantics, computer science
• Science (X) informatics = Use cases, science domain terms, concepts in
an ontology or controlled vocabulary
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GIS4Science
Data Analytics Context
Experience
Data
Creation
Gathering
Information
Presentation
Organization
Knowledge
Integration
Conversation
Data Science Xinformatics Semantic
eScience
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Web Science
So who are we talking about?
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http://images2.fanpop.com/image/photos/9400000/Lt-Commander-Data-star-trek-the-next-generation-9406565-1694-2560.jpg
Overused Venn diagram of the intersection of skills
needed for Data Science (Drew Conway)
Anatomy
Physiology
Missing Anatomy
Data Science
 Anatomy (as an individual)
 Data Life Cycle – Acquisition, Curation
and Preservation
 Data Management and Products
 Forms of Analysis, Errors and
Uncertainty
 Technical tools and standards
Data Science
 Physiology (in a group)
 Definition of Science Hypotheses, Guiding
Questions
 Finding and Integrating Datasets
 Presenting Analyses and Viz.
 Presenting Conclusions