1 / 9

Variations at Indiana University: Feeding, Facilitating, and Archiving Your Research

Explore how the Variations system at Indiana University provides extensive support for researchers in music and digital libraries. Led by Jenn Riley of the Carolina Digital Library and Archives, discover tools that facilitate the documentation of your work, visualize results, and analyze user behavior data. This multifaceted platform not only archives your research but also fosters collaborations, enhances metadata sharing, and aids in collection development. Uncover new music, document your findings, and build impactful research partnerships.

huy
Download Presentation

Variations at Indiana University: Feeding, Facilitating, and Archiving Your Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Variations at Indiana University: Feeding, Facilitating, and Archiving Your Research Jenn Riley Head, Carolina Digital Library and Archives The University of North Carolina at Chapel Hill (formerly @ Indiana University Digital Library Program)

  2. Not just a digital library, but a research and learning system • Though admittedly much of the recent work is pretty library-focused • Once upon a time handled MusicXML in addition to sound and bitmapped scores; probably could again • Can provide you with: • tools for the documentation of your work • ground truth • means for visualizing your results Variations and MIR

  3. Sound analysis tools

  4. Some open source code

  5. Search terms • Works listened to • Recordings listened to • Scores viewed • Patterns of viewing/listening vs. interacting User behavior data

  6. Metadata about works/songs

  7. Metadata about recordings

  8. Discovering new music for your work

  9. We’ll partner on: • Collection development • Metadata sharing • Archiving your research (data and papers) • Facilitating research collaborations • Identifying and compiling data for your research And don’t forget your library!

More Related