New Article: “Digitized Archival Primary Sources in STEM: A Selected Webliography”
The following article appears in the latest issue of Issues in Science and Technology Librarianship.
Digitized Archival Primary Sources in STEM: A Selected Webliography
University of New Mexico
Issues in Science and Technology Librarianship
From the Introduction:
Popular connotations of archives and special collections are most closely aligned with the arts and humanities fields, with history being the most seamless affiliation. However, archival documentation extends far beyond common disciplinary assumptions, with strong holdings relevant to the sciences, technology, engineering, and mathematics (STEM) fields, as well as medicine and other allied disciplines. These archival collections provide largely untapped educational, enrichment, and research opportunities for STEM students and researchers.
The selected resources in this webliography are intended as a starting point by which librarians, archivists, educators, and students may discover digitized archival primary sources related to STEM and allied disciplines, which may be creatively used as tools to inform instruction, teaching, research, library collection development, marketing, and reference services. The resources embody a wide-ranging selection of noteworthy, historically significant STEM-focused archival primary source collections currently digitized and publicly accessible.
Direct to Full Text Article/Webliography
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.