Category Archives: Libraries

Posts about libraries and librarians.

Digital Humanities Projects & (Library) Partnerships

[Apologies for posting so late–I forgot my password and never got a reset link, so I’ve asked a colleague to post for me. So, look for me (Kira Dietz) if you want to talk!]

Special Collections at Virginia Tech has been involved in a few digital humanities projects, usually helping to provide original materials, scanning equipment, training, or some combination of those. However, the University Libraries’ staff and faculty here (and at other academic institutions) have a wide variety of skill sets and interests, including some that go far beyond their daily jobs! I’m interested in talking through some questions relating to the idea of partnerships and collaboration. While my particular focus is on libraries and archives, I’m curious to know where else those of you working on DH projects might find collaborators or partners. So, hopefully we can try to answer questions like:

  • Do you look for/have you worked with collaborators outside the main field of your project? If so, from where?
  • What do you look for in a partner/collaborator?
  • What resources, tools, and skills do you need or want access to that you may not have?
  • Do you know what potential partners (like libraries, for example) might be able to bring to your project?
  • How can potential partners let you know they are out there and open to opportunities? How can potential partners best share/promote what they can do?
  • Why should people creating/running DH projects be interested in collaborators? Why should potential partners be interested in DH projects? (In other words, for both sides, what do “we” get out of it?)

I see this primarily as a “talk” session, but it will also be a great opportunity for all of us to “teach” each other what we might bring to a project!

Musicplectics: Digitally Ranking Musical Complexity for Educators

000000">Musiplectics: the study of the complexity of music

We are in the middle of a collaborative research project here at Virginia Tech (in the departments of music and computer science) and ICAT, creating a web-based software program that automatically ranks the complexity of written music (music scores). The idea is that, by scanning a music score, using a pre-existing pdf, or an xml file, users would be able to use our application to determine the skill level required for the performance of a musical work. We have developed a working prototype to explore music written for clarinet, but are planning to expand its utility to include use for all other common musical instruments.

 

Pedagogical Value:

I. To Increase the utility of existing digital archives. With the growing availability of digitized scores (both from historical works in the public domain and xml that is being uploaded daily to the web), musicians and music teachers are overwhelmed by the amount of musical works newly available to them at the click of a button. We feel that if there were some way to rank and categorize these works by their complexity, these vast digital resources would become less daunting and more widely used by educators.

II. For competitions and festivals. Often times, educators must make highly subjective, and time-consuming decisions regarding the difficulty levels of the music that is chosen. This ranking system could clarify and objectively facilitate these often-debated choices.

 

Future Research Projects:

We would like to explore collaborating with existing databases, libraries, or digital reserves to rank as many scores as possible and explore other possible applications of our technology. Further collaborations and suggestions or ideas from our colleagues would be wonderful!

Questions:

– How can we use crowdsourcing, surveys, or other methods as a tool to set the parameters for judging exactly what is difficult on various instruments? Is there a way to get input from a large number of participants so that our parameters could represent a good average for what people believe?

– How can we find the most advanced OCR (optical character recognition) software that will help us to make sense of music, which is sometimes hard to decipher?

– Are there other applications of our software that might be unexplored?

– Who would like to collaborate with us?

 

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