This poster is part of the Open Repositories 2021 Poster Session which takes place in the week of June 7-10. We encourage you to ask questions and engage in discussion on this poster by using the comments feature. Authors will respond to comments during this week.
Authors:
Linda Eells and Julie Kelly
Poster description:
The AgEcon Search repository began as a way to leverage the Internet to provide a small-scale solution to a local problem. Launched in 1995 on a “home grown” platform, AgEcon Search has migrated to new
software three times and has grown into an unusually successful disciplinary repository. A small database with 50 papers from the Midwestern United States now hosts 155,000 documents in 15 languages, from 340 organizations in 50 countries on six continents. This growth has occurred with a tiny staff and at an extremely low cost due to an efficient operating model that relies on our member communities to upload
much of their own content. All of the papers in AgEcon Search are associated with an organization such as an academic department, research institute, professional society, or government agency that provides peer
review of some sort, an arrangement that guarantees quality at minimal cost.
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About the authors:
Linda Eells has been a librarian at the University of Minnesota since 2003, providing research and instruction services and co-coordinating the AgEcon Search disciplinary repository. Her research interests include open access publishing models and repository development and management. She holds a MLIS from the University of Wisconsin-Milwaukee, and a M.S. in Conservation Biology from the University of Minnesota-Twin Cities.
Julie Kelly (Presenting author) is a science librarian at the University of Minnesota, serving as co-coordinator of AgEcon Search, a disciplinary repository, as well as acting as library liaison for ecology and horticulture. She holds a MLIS from the University of Wisconsin-Milwaukee, and a M.S. in Biology from the University of Minnesota-Duluth. Her research interests include historic data and grey literature.