{"id":233042,"date":"2017-04-07T14:23:30","date_gmt":"2017-04-07T18:23:30","guid":{"rendered":"http:\/\/www.rochester.edu\/newscenter\/?p=233042"},"modified":"2024-10-29T15:14:19","modified_gmt":"2024-10-29T19:14:19","slug":"librarians-integral-to-data-science-initiatives-233042","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/librarians-integral-to-data-science-initiatives-233042\/","title":{"rendered":"Big library, big data"},"content":{"rendered":"

Librarians integral to data science initiatives<\/h3>\n

As the University of Rochester pursues a $50 million initiative in the new field of data science, practitioners will rely on work University librarians have long done\u2014and will continue to do in new ways, in collaboration with data scientists.<\/p>\n

\u201cLibraries have been managing data for centuries,\u201d says Marcy Strong, head of metadata service at River Campus Libraries<\/a><\/strong>. Be it cataloging clay tablets, sorting medieval manuscripts, or documenting online resources, libraries have long been in the business of helping users and researchers find what they need by creating metadata, or a systematic way of describing the various items in their collections.<\/p>\n

Today, most libraries contribute their bibliographic data to WorldCat, a massive catalog shared by libraries around the world with more than two billion holdings. \u201cSuch a major initiative,\u201d notes Strong, \u201ccould have become possible only thanks to the development of consistent metadata standards.\u201d<\/p>\n

\"student
Doctoral student worker Clara Auclair uses computers and a copy stand to digitize a collection of papers from New York governor Thomas Dewey. (University photo \/ J. Adam Fenster)<\/figcaption><\/figure>\n

\"illustration<\/a><\/p>\n

Unlocking big data<\/h2>\n

 <\/p>\n

A Newscenter series on how Rochester is using data science to change how we research, how we learn, and how we understand our world.<\/h3>\n

 <\/p>\n

Librarians\u2019 expertise in data standards, tools, and models, makes them integral to enterprises in data science. Librarians collaborate with researchers in creating new models that support the curation and visualization of so-called \u201cbig data,\u201d as well as recommend tools and strategies for data analysis. Librarians also advise researchers on data management planning, and help identify metadata standards and methods for capturing and recording data to meet grant guidelines.<\/p>\n

The newly created Digital Scholarship Lab<\/a><\/strong>, housed in the Humanities Center in Rush Rhees Library, is designed to give researchers the tools and software they need to develop new methods of analyzing a wide range of data.<\/p>\n

\u201cWe\u2019re engaged in a diverse range of scholarly projects, from mapping scholarly networks to advising students in capstone projects for digital media studies or engineering,\u201d says Nora Dimmock, assistant dean and director of the lab. \u201cWe help students learn how to reconstruct historic structures in 3D modeling software or develop digital platforms for organizing field research. The lab team members are always available to help students and faculty think through their research questions. They are there to discuss how digital tools or methodologies might provide new insight.\u201d<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cLibraries have been managing data for centuries,\u201d says Marcy Strong, head of metadata service at River Campus Libraries. 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