1. 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

2. 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

3. Scientific Data Continuum Data Providers Data Consumers Data Producers Scientific Literature Data Consumers Data Producers Scientific Literature NOW THEN Varying Goals/Perspectives/Needs

4. 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

5. 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

6. 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

7. At the Intersection: The Data Scientist Data Producers Data Providers Data Consumers

8. Data Scientist DATA PRODUCERS DATA PROVIDERS DATA CONSUMERS Data Stewardship Continuum

9. 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

10. 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

11. 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

12. 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

13. The Future? Data Producers Data Providers Data Consumers Data Scientists