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Dr. Vicki Lynn Ferrini Lamont-Doherty Earth Observatory

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Symposium on Digital Curation in the Era of Big Data:  Career Opportunities and Educational Requirements: A Data Scientist Perspective. Dr. Vicki Lynn Ferrini Lamont-Doherty Earth Observatory. Background ( What I do ). Data Documentation (Metadata) Data Management

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Symposium on Digital Curation in the Era of Big Data: Career Opportunities and Educational Requirements:A Data Scientist Perspective

Dr. Vicki Lynn Ferrini

Lamont-Doherty Earth Observatory

background what i do
Background (What I do)
  • Data Documentation (Metadata)
  • Data Management
  • Data Discovery & Access Tools
  • Develop/Implement QA/QC
  • Data Syntheses
  • Data Compliance Tools
  • Education Materials
  • Delivery to National Data Centers, Libraries
  • Data Publication & Links to Scientific Literature
  • Data Integration, Visualization & Analysis Tools
  • Best Practice Guidelines for Optimizing Acquisition

“Support, sustain, and advance the geosciences by providing data services for observational solid earth data from the Ocean, Earth, and Polar Sciences.”

rvdata.us

scientific data continuum
Scientific Data Continuum

THEN

Data Consumers

Data Consumers

Data Producers

Data Producers

Scientific

Literature

Data Providers

Scientific

Literature

NOW

Varying Goals/Perspectives/Needs

perspective of data producers
Perspective of Data Producers
  • Goal: Scientific Discovery
  • Data Acquisition& Reduction
  • Data Assembly
  • Visualization, Integration & Interpretation
  • Scientific Standards
  • Technical & Operational Limitations
  • Data documentation
    • Varies by domain
    • Often difficult
    • Heterogeneous

Domain Specialists

perspective of data consumers
Perspective of Data Consumers
  • Goal: Discovery
  • Data Discoverability & Access
  • Cross-disciplinary
  • Scientific Standards
  • Interpretation
  • Increased importance of documentation
    • Data not self-generated
    • Data Quality/Reliability
    • Data Use/Misuse

Domain Specialists & Public

perspective of data providers
Perspective of Data Providers
  • Goal: Access/Preservation/Re-Use
  • Data Formats & Standards
  • Data Documentation & Preservation Techniques
  • Scientific & Metadata Standards
  • Data Citation
  • Data Transfer Mechanisms
  • System Usability
  • Interoperability/Linked Data
  • Needs of Diversity of User Community
  • Knowledge of Content

Human & Digital Bridge between Producers & Consumers

at the intersection the data scientist
At the Intersection:The Data Scientist

Data Producers

Data Consumers

Data Providers

data scientist
Data Stewardship ContinuumData Scientist

DATA PRODUCERS

DATA PROVIDERS

DATA CONSUMERS

key attributes of data scientists
Key Attributes of Data Scientists
  • Knowledge spanning full scientific data stewardship continuum
  • Domain Experience
    • Content & applications
    • Data acquisition & reduction practices
    • Nuances of Data
  • Technical knowledge
    • Evolving Technologies
    • Data Acquisition & Management
    • Metadata
key attributes of data scientists1
Key Attributes of Data Scientists
  • Other skills (seldom taught)
    • Communication & Organization
    • Understand cultural aspects of user community
    • People/Project Management
    • Balance between micro- and macro- perspectives
key attributes tech team members
Key Attributes Tech Team Members
  • Basic knowledge of content OR interest/curiosity
  • Experience with Data Production/Consumption
  • Technical skills:
    • web development & technology
    • geospatially enabled data management tools
    • experience with data analysis tools
    • ability to work in a variety of tech environments
  • Complementary skill sets
  • Innovation & creativity
  • Willingness to ask questions – assumptions can be dangerous
challenges opportunities
Challenges & Opportunities
  • Difficult to find right balance between technical skills and interest in content
    • Team dynamics, management approaches evolving
    • Increasing opportunities to engage/educate computer scientists in domain science
  • Data producers are slow to join the digital era
    • Educational opportunities
    • Scientific benefits continue to grow
    • New generation incorporating data sharing into scientific workflow
  • Difficult to keep pace with evolving technologies
    • Educational & Professional Development opportunities
the future
The Future?

Data Scientists

Data Producers

Data Consumers

Data Providers

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