Andrea Medina-smith

Executive Editor, Sage Data

Baltimore, Maryland, United States
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Summary

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Senior
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Top School
Andrea Medina-Smith is an information and data services leader with 11 years of experience helping research organizations make publications and datasets discoverable, accessible, and FAIR. Currently Executive Editor for Sage Data, she previously led data and metadata services at NIST, where she drove DOI deployments for thousands of digital objects and automated repository workflows. Trained in archives management with advanced study in digital curation and a PhD in Information and Communication in progress, she blends archival rigor with practical automation (ExifTool, XSLT) and policy work on persistent identifiers. Colleagues know her as the “PID Queen,” reflecting deep expertise in persistent identifiers and research data management. Based in Baltimore, she pairs hands-on technical skills and metadata design with program-level project planning, training, and assessment. A detail-oriented strategist, she often surfaces value by turning preservation requirements into scalable, discoverable outputs.
code10 years of coding experience
bookM.S., Library and Information Science, Archives, M.S., Library and Information Science, Archives at Simmons College
bookDiploma, Estudios Hispanicos, Diploma, Estudios Hispanicos at Universidad de Salamanca
bookUniversity of California Santa Cruz
bookDoctor of Philosophy - PhD, Information and Communication, Doctor of Philosophy - PhD, Information and Communication at The Manchester Metropolitan University
bookThe University of Maryland, College Park
languagesSpanish
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Github Skills (10)

portal8
open-data7
data-management5
data-cleaning3
data-science2
openrefine2
data-wrangling2
stable2
reconciliation2
data-visualisation1

Programming languages (3)

TypeScriptTeXHTML

Github contributions (5)

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andreamedinasmith/planets

Jul 2015 - Feb 2022

Contributions:2 pushes, 1 branch in 6 years 8 months
Contributions:26 pushes in 1 month
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Andrea Medina-smith - Executive Editor, Sage Data