Top of page
Posted by: Nancy Lovas
This is the fourth post in a series addressing digital scholarship in business and economic history related to Library of Congress collections. Read the first post, second post, and third post. In my last post, I talked about how I started to learn to read a Sanborn map. I left out one last piece of advice. …
Posted in: Business, Digital Scholarship and Data, Rare Books and Special Collections
Posted by: Nancy Lovas
This is the third post in a series addressing digital scholarship in business and economic history related to Library of Congress collections. Read the first post and the second post. I have been making steady, if slow, progress on the next steps I outlined in my last post. identifying a place to focus on which will …
Posted in: Business, Digital Scholarship and Data, Rare Books and Special Collections
Posted by: Nancy Lovas
What is endangered business data? It can probably mean a lot of things, but what comes to my mind first is this: business information and data sets that are inaccessible, nonexistent, or in danger of becoming so. For example, there could be gaps in coverage, print sets lost, microform copies decomposing or unreadable without proper …
Posted in: Business, Digital Scholarship and Data
Posted by: Nancy Lovas
This is the second post in a series addressing digital scholarship in business and economic history related to Library of Congress collections. Read the first post here. I’ve been thinking a lot recently about how to begin tackling the many questions I posed in my first post. I read blogs (The Signal‘s excellent ”Digital Scholarship Resource …
Posted in: Business, Digital Scholarship and Data
Posted by: Nancy Lovas
In July 2017, I attended the second Collections as Data event hosted by National Digital Initiatives/LC Labs at the Library of Congress. The event featured speakers who are using digital collections and data to work in their communities. Kate Zwaard gave an opening talk that deftly describes “computation applied to library collections when computers were people …
Posted in: Business, Digital Scholarship and Data