ºÝºÝߣshows by User: HeidiNance1 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: HeidiNance1 / Sat, 10 Nov 2018 00:20:08 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: HeidiNance1 Open Source Data Visualization for Resource Sharing: An Ivy Plus Libraries Project /slideshow/open-source-data-visualization-for-resource-sharing-an-ivy-plus-libraries-project/122611908 2018-11-08-charlestonpresentation-181110002009
https://sched.co/GB4S Presentation by Heidi Nance and Joe Zucca. In order to better understand scholarly use of a vast collective collection - both within and without our 13-library partnership - Ivy Plus Libraries is leveraging MetriDoc, an open-source framework devised by a library for libraries, to create a generalizable data analysis infrastructure and visualization service. MetriDoc gathers, normalizes, and presents BorrowDirect consortial Resource Sharing data as well as ILLiad (interlibrary loan + document delivery) data from all 13 Ivy Plus Libraries—more than 500,000 transactions, annually. It integrates seamlessly with Tableau or other commodity statistical applications, thus allowing staff in any functional area (Assessment, User Services, Collections, IT, Technical Services, User Experience, Research & Instruction, etc.) to query, download, and interpret resource sharing data to support a variety of one-time or ongoing assessment projects. In this session we will discuss the Ivy Plus project and goals, the framework’s IMLS-funded history, and basic architecture, myriad use cases, and creative opportunities for future extensibility and connections with third-party systems common to libraries. Come learn how you, too, can analyze the larger-than-you-might-expect Resource Sharing data universe. ]]>
https://sched.co/GB4S Presentation by Heidi Nance and Joe Zucca. In order to better understand scholarly use of a vast collective collection - both within and without our 13-library partnership - Ivy Plus Libraries is leveraging MetriDoc, an open-source framework devised by a library for libraries, to create a generalizable data analysis infrastructure and visualization service. MetriDoc gathers, normalizes, and presents BorrowDirect consortial Resource Sharing data as well as ILLiad (interlibrary loan + document delivery) data from all 13 Ivy Plus Libraries—more than 500,000 transactions, annually. It integrates seamlessly with Tableau or other commodity statistical applications, thus allowing staff in any functional area (Assessment, User Services, Collections, IT, Technical Services, User Experience, Research & Instruction, etc.) to query, download, and interpret resource sharing data to support a variety of one-time or ongoing assessment projects. In this session we will discuss the Ivy Plus project and goals, the framework’s IMLS-funded history, and basic architecture, myriad use cases, and creative opportunities for future extensibility and connections with third-party systems common to libraries. Come learn how you, too, can analyze the larger-than-you-might-expect Resource Sharing data universe. ]]> Sat, 10 Nov 2018 00:20:08 GMT /slideshow/open-source-data-visualization-for-resource-sharing-an-ivy-plus-libraries-project/122611908 HeidiNance1@slideshare.net(HeidiNance1) Open Source Data Visualization for Resource Sharing: An Ivy Plus Libraries Project HeidiNance1 https://sched.co/GB4S Presentation by Heidi Nance and Joe Zucca. In order to better understand scholarly use of a vast collective collection - both within and without our 13-library partnership - Ivy Plus Libraries is leveraging MetriDoc, an open-source framework devised by a library for libraries, to create a generalizable data analysis infrastructure and visualization service. MetriDoc gathers, normalizes, and presents BorrowDirect consortial Resource Sharing data as well as ILLiad (interlibrary loan + document delivery) data from all 13 Ivy Plus Libraries—more than 500,000 transactions, annually. It integrates seamlessly with Tableau or other commodity statistical applications, thus allowing staff in any functional area (Assessment, User Services, Collections, IT, Technical Services, User Experience, Research & Instruction, etc.) to query, download, and interpret resource sharing data to support a variety of one-time or ongoing assessment projects. In this session we will discuss the Ivy Plus project and goals, the framework’s IMLS-funded history, and basic architecture, myriad use cases, and creative opportunities for future extensibility and connections with third-party systems common to libraries. Come learn how you, too, can analyze the larger-than-you-might-expect Resource Sharing data universe. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2018-11-08-charlestonpresentation-181110002009-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> https://sched.co/GB4S Presentation by Heidi Nance and Joe Zucca. In order to better understand scholarly use of a vast collective collection - both within and without our 13-library partnership - Ivy Plus Libraries is leveraging MetriDoc, an open-source framework devised by a library for libraries, to create a generalizable data analysis infrastructure and visualization service. MetriDoc gathers, normalizes, and presents BorrowDirect consortial Resource Sharing data as well as ILLiad (interlibrary loan + document delivery) data from all 13 Ivy Plus Libraries—more than 500,000 transactions, annually. It integrates seamlessly with Tableau or other commodity statistical applications, thus allowing staff in any functional area (Assessment, User Services, Collections, IT, Technical Services, User Experience, Research &amp; Instruction, etc.) to query, download, and interpret resource sharing data to support a variety of one-time or ongoing assessment projects. In this session we will discuss the Ivy Plus project and goals, the framework’s IMLS-funded history, and basic architecture, myriad use cases, and creative opportunities for future extensibility and connections with third-party systems common to libraries. Come learn how you, too, can analyze the larger-than-you-might-expect Resource Sharing data universe.
Open Source Data Visualization for Resource Sharing: An Ivy Plus Libraries Project from Heidi Nance
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