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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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Dr. Vicki Lynn Ferrini Lamont-Doherty Earth Observatory

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Dr vicki lynn ferrini lamont doherty earth observatory

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 Continuum

Data 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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