Digital collections

Tastemakers Archives Provides a Glimpse into Music Format History

Cover of Tastemakers magazine, Issue 16. It pictures a woman standing on a ladder under a tree picking CDs as though they are apples. The main headline is "Music for Free: Streaming stations for your listening pleasure and spotify is coming"

One of my recent projects was to digitize the very first issues of Tastemakers, Northeastern’s student-run music magazine, which began in 2007 and is still running today. Since the 2010-11 academic year, all issues were created in a born-digital format, so they were easy to add to the Digital Repository Service earlier this year. However, the first 19 issues were not, so it was my job to scan them on our Bookeye scanner and turn them into PDFs ready to be made accessible.

Since the issues in question date from 2007 to mid-2010, they fall exactly in the transitional moment of the music industry when legal streaming was still a novel concept, but CDs had fallen largely out of fashion in favor of iPods and other portable mp3 players. Consequently, as I was going through the magazines, I found an assortment of pieces that are retrospectively funny because we, in 2024, know the outcomes of all their speculations (most of which didn’t happen).

The articles I found fell into two broad categories: devices and streaming, both of which provide an interesting (as well as amusing) look at the future we imagined music would have at that time.

Article headlined "USB Devices...The New CD?"
Tastemakers, Issue 9, page 13

Let’s start with devices. The two pieces I found are on the potentiality of USB sticks and microSD cards as the dominant form of physical media to replace CDs. The USB article discusses a few bands and artists circa 2008, including Matchbox Twenty and Jennifer Lopez, who released albums on USB sticks embedded in rubber bracelets, primarily as a marketing gimmick. The author wonders whether if the technology will catch on in earnest or remain a ploy. At the time, vinyl was already starting to make a resurgence as the go-to medium for people who want their music on a physical object, and that group is comprised primarily of people who care deeply about the auditory and visual technical details of their music. So, I think the bracelets were never really going to work, since a group of mp3 files on a rubber bracelet couldn’t match up to either the quality or experience of vinyl on a record player, and thus eliminated their theoretical primary market. (It’s also funny to imagine collectors’ storage for a bunch of rubber bracelets. Would you keep them in a basket? Individual cases? One of those divider boxes for sorting hardware? On a pegboard on your wall?)

Article headlined "Good Idea/Bad Idea: Selling Music on SD Drives"
Tastemakers, Issue 12, page 17

Meanwhile, the microSD card piece talks about an attempt in late 2008 by major record labels to supplant (or at least supplement) CDs with pre-loaded microSD cards, branding as slotMusic, that can go into any phone or mp3 player with a corresponding card slot. This one is interesting because it could have possibly been successful, but only in a universe where Apple wasn’t already the dominant force in the portable music player market. iPods were well established as everyone’s favorite internet-based mp3 player, and the iPhone was already becoming the most popular phone, which combined the two via a built-in iTunes app and completely removed the need to even have a separate device for music. Even if they had managed to carve out a market around Apple, rapid increases in storage capacity would have also rendered them useless within a handful of years. While 1GB was a significant amount of storage for the size of a microSD in 2008, 128GB microSDs were introduced in 2014, which is a 127,000% increase in about five years. They didn’t stop there. Today, microSD cards are available in sizes up to 1TB, which is big enough to fit 1,000 slotMusic cards on a single item. So, slotMusic never really stood a chance.

Now, on to streaming. Over the course of three years, Tastemakers published five different pieces about then-current and upcoming streaming services, effectively culminating (though not knowingly at the time) in a piece about the European launch of Spotify. Nearly all of the platforms mentioned are now entirely defunct, with some exceptions including Spotify and Amazon mp3 (now Amazon Music). The other remaining platforms now provide internet radio and recommendation sites, rather than streaming music, a fact that does not seem coincidental. Here’s a breakdown:

Chart titled "Streaming Service Breakdown" and contains a list of past and present streaming services and their pros and cons
Sources: Issue 3, page 8 (Ruckus); Issue 7, page 16 (FreeMusicZilla); Issue 5, page 15 (Spiralfrog, Amazon mp3, Grooveshark, The Hype Machine, Blip.fm); Issue 16, pages 20-21 (Last.fm, Songza); Issue 6, page 20 (Seeqpod)

It’s also amusing now to think of Spotify as the hip new platform from Europe. Their article quotes other American journalists who had received early-access press accounts describing Spotify as “the world’s biggest iTunes collection” and “an almost infinite jukebox.” It sounds quaint in today’s world, but then you can’t describe something with words that don’t yet exist. Reading their predictions from 2009 about whether Spotify will be successful while others failed is like listening to someone try to predict the ending of a TV show that you’ve already finished.

Two-page spread article headlined "Music for Free: Spotify is Coming"
Tastemakers, Issue 16, page 22-23

I sat for about 30 minutes trying to think of something to speculate for the future the way that these articles speculated about streaming. The conclusion I came to is that I don’t think there are any more technological advancements that music needs to make; you can get a device that fits in your pocket with up to 1TB of space and provides access to anything on Spotify, iTunes, and YouTube. Either that, or, like the writes of Tastemakers in 2007-2010, I cannot even conceive of what is yet to come, exactly because it has not come yet.

Katz Tapes Provide Valuable Resource on History of Music Industry

This blog post was written by Sean Plaistowe and edited by Molly Brown and Giordana Mecagni for clarity.

Larry Katz is a music journalist who spent a long career working at Boston-area newspapers and magazines. While collecting information for upcoming articles, it became his practice to record the interviews with musicians and artists and put them aside in case they proved useful in the future. Over time, he amassed a collection of over 1,000 of these interviews, with artists as diverse as Eartha Kitt, Carly Simon, D.J. Fontana (the drummer for Elvis), Aerosmith, David Bowie, Ornette Coleman, Aretha Franklin, Bob Marley, James Brown, Miles Davis, and Elmore Leonard, as well as actors including Ted Danson, Mel Brooks, and Loretta Devine.

In 2020, Larry donated his collection to the Northeastern University Archives and Special Collections (NUASC).

A collage of various musicians and artists. At the center is a cassette tape that is labeled "The Katz Tapes"

These interviews create a fascinating resource that provides insight into the music and arts industry across a wide variety of genres and eras. In them, you can catch some novel and intimate moments of music history. On one tape, you’ll hear Weird Al Yankovic discussing the difficulties of obtaining permission to parody Eminem’s music. Other tapes with artists like Nina Simone or Aimee Mann discuss musical influences or even the challenges and biases of navigating the recording industry. These interviews contain countless quiet moments as well, such as Prince discussing his preference for his home in Minneapolis over either coast, as well as his favorite movies of the year. The quiet clicking of teacups connecting with saucers while Eartha Kitt discusses her career provides a welcome feeling of connection and belonging that can feel rare and precious in researching these figures or music journalism more generally.

Black and white image of a man with curly dark hair and a collared shirt.
Larry Katz. Photo courtesy of The Katz Tapes website.

After graduating from the Manhattan School of Music in 1975, Larry Katz worked as a bass player before starting his journalism career at Boston’s Real Paper in 1980. In 1981, Larry worked as a freelance music writer at the Boston Globe and Boston Phoenix before being hired at the Boston Herald as a features writer, where he covered a wide variety of arts and lifestyle beats before settling into a role as a music critic and columnist. In 2006, he became the Herald’s Arts Editor and in 2008, he took over the features department, a role he had until 2011.

In 2013, Larry revisited his tape collection. Re-listening to the interviews sparked memories of the circumstances and contexts that these recordings were made in, information he felt compelled to share. He started a blog, The Katz Tapes, where he began to write reflections on artists and their interviews, often taking into account events that had transpired since the original conversations. Along with these reflections, Larry provided a transcription of the recorded interviews which he often interspersed with links to notable performances or songs related to the artists. Larry also donated the contents of this blog to the NUASC.

Making this collection usable and accessible to the public has involved many hands and collaborations, both internal and external. First, the tapes were digitized by George Blood LP, with funding generously provided by the Library of the Commonwealth program run by the Boston Public Library. Once the digitized tapes were safely back in the hands of the NUASC collections staff, the files were then handed to the Digital Production Services department to do the painstaking work of processing and cataloging the collection. They split audio files that contained multiple interviews, combined interviews that were on multiple tapes edited out white space, and created catalog records.

Making the blog content available was another challenge. Despite already being digital, moving content from Larry’s independent site to Northeastern hosting proved difficult. Initially, I was hopeful that we could use a handy WordPress feature that would allow for the whole cloth export of his blog. No such luck. Instead, I found some scripts which allowed me to scrape the many unique images which Larry had included with each post. The blog also linked to a lot of songs and performances hosted on YouTube, but unfortunately, due to the vagaries of time and copyright law, many of these videos were removed. When possible, I attempted to restore links to sanctioned videos. As an added feature, I created a playlist that includes many of the songs referenced in these posts.

Now that the collection has been cataloged and the blog has been ingested, we welcome anyone to search for their favorite artist, listen to their interview, read some of the reminiscences and insights form Larry about the artist and the interview, and listen to a Spotify playlist of some of the artists Larry interviews at thekatztapes.library.northeastern.edu.

In addition to the Larry Katz collection, researchers and enthusiasts of the arts in Boston may be interested in the Real Paper records and the Boston Phoenix records, both available at the NUASC.

Library Digital Scholarship Group and NULab receive $500,000 NEH grant

The Northeastern University Library’s Digital Scholarship Group and the NULab for Texts, Maps, and Networks received a $500,000 grant from the National Endowment for the Humanities as part of the NEH’s American Rescue Plan program.

The American Rescue Plan aims to provide funding to organizations conducting humanities projects that were adversely affected by the coronavirus pandemic. The grant awarded to the DSG and NULab is specifically focused on supporting humanities organizations.

This grant will help fund a series of digital projects currently underway through the DSG and NULab, but that were delayed or postponed due to the COVID-19 pandemic. It will support efforts to conduct collaborative research, digitize and process archival materials, create metadata, increase web accessibility, and more, while creating many graduate and undergraduate student research positions to conduct this work.

The projects that will benefit from this grant all involve collaborative engagement with communities outside of Northeastern, with many of them focused on resources related to underrepresented groups and social justice efforts. These include:

The grant also includes funding for additional projects organized through the NULab.

Julia Flanders, the director of the Digital Scholarship Group, is excited to get started: “We are honored and energized by this award. It creates wonderful research opportunities for students and will help the entire digital humanities ecology at Northeastern.”

A brief overview of machine learning practices for digital collections

Northeastern University Library’s procedure for digitizing physical materials utilizes a few different workflows for processing print documents, photographs, and analog audio and video recordings. Each step in the digitization workflow, from collection review to scanning to metadata description, is performed with thorough attention to detail, and it can take years to completely process a collection. For example, the approximately 1.6 million photographs in The Boston Globe Library collection held by the Northeastern University Archives and Special Collections may take several decades to complete!

What if some of these steps could be improved by using artificial intelligence technologies to complete portions of the work, freeing staff to focus more effort on the workflow elements that require human attention? Read on for a very brief overview of artificial intelligence and three potential options for processing The Boston Globe Library collection and other digital collections held by the Library.

A three-part cycle, with "Input" leading to "Model Learns and Predicts" leading to "Response" leading back to "Input"

What is artificial intelligence and machine learning?
Artificial intelligence (AI) is a broad term used for many different technologies that attempt to emulate human reasoning in some way. Machine learning (ML) is a subset of AI where a program is taught how to learn and reason on its own. The program learns by using an algorithm to process existing data and find patterns. Every pattern prediction is evaluated and scored according to how accurate the prediction may or may not be until the predictions reach an acceptable level of accuracy.

ML may be supervised or unsupervised, depending on the type of result needed. Supervised learning is when instructions are provided to assist the algorithm to learn how to identify patterns expected to the researcher. Unsupervised learning is when the algorithm is fed data and discovers its own patterns that may be unknown to the researcher.

Ethics
As we undertake this work, it is important to be aware that AI technologies are human-made and therefore human biases are embedded directly within the technology itself. Because AI technologies can be employed at such a large scale, the potential for negative impact caused by these biases is greater than with tools that require standard human effort. Although it is tempting to adopt and employ a useful technology as quickly as possible, this is an area of research where it is imperative that we make sure the work aligns with our institutional ethics and privacy practices before it is implemented.

What AI or ML techniques could be used to help process digital collections?
OCR: The most widely known and used form of AI in digital collections practices may be recognition of printed text using Optical Character Recognition, or OCR. OCR is the process of analyzing printed text and extracting the text objects, like letters, words, sentences. The results may be embedded directly in the file, like a PDF with OCR’d text, or stored separately, like in a METS-ALTO file, or both.

Screenshot of the front page of the Winchester News
Image source: Screenshot of an OCR page of The Winchester News with METS-ALTO encoding opened in AltoViewer.

OCR works rather well for modern text documents, especially those in English, but a particular challenge for OCR is historical documents. For more about this challenge, I recommend A Research Agenda for Historical and Multilingual OCR, a fairly recent report published by NULab.

A screenshot of a search result that reveals the result was returned because the search term matched OCR'd text within the document.

We can already see the benefit of using OCR in the library’s Digital Repository Service, as files with OCR text embedded in the file have the full text extracted and stored alongside the text file. That text is indexed and improves discoverability of text files by retrieving files that match search terms in the file’s metadata or the full text.


The back of a photograph from the Boston Globe Library Collection, featuring difficult-to-read handwritten descriptions.
Digitized back of a photograph from The Boston Globe Library collection.

HTR: Handwritten Text Recognition, or HTR, is like OCR, but for handwritten, not typewritten, text. Handwriting is very unique to an individual and poses a difficult challenge for teaching machines to interpret it. HTR relies heavily on having lots of data to train a model (in this case, lots of digitized images of handwriting), so even once a model is accurately trained on one set of handwriting, it may not be useful for accurately interpreting another set. Transkribus is a project attempting to navigate this challenge by creating training sets for batches of handwriting data. Researchers submit at least 100 transcribed images for a particular handwriting set to Transkribus and Transkribus uses that set as training data to create an HTR model to process the remaining corpus of handwritten text. HTR is appealing for the Boston Globe collection, as the backs of the photographs contain handwritten text describing the image, including the photographer name, date the photograph was taken, classification information, and perhaps a description or an address.

Computer Vision: Computer vision refers to AI technologies that allow machines to work with images and video, essentially training a machine to “see”. This type of AI is particularly challenging because it requires the machine to learn how to observe and analyze a picture and understand the content. Algorithms for computer vision are trained to identify patterns of different objects or people and attempt to accurately sort and identify the patterns. In a picture of the Northeastern campus, for example, a computer vision algorithm may be able to identify building objects or people objects or tree objects.

A black and white photograph of a man being arrested by two police officers next to an analysis of the photo's contents: Footwear (98%); Shoe (96%); Gesture (85%); Style (84%); Military Person (84%); Black-and-white (84%); Military Uniform (80%); Cap (80%); Hat (78%); Street Fashion (75%); Overcoat (75%)
Result of Google Cloud’s Vision API analysis for a black and white photograph.

When used in digital collections workflows, the output produced by computer vision tools will need to be evaluated for its usefulness and accuracy. In the above example, the terms returned to describe the image are technically present in the photo (the subjects are wearing shoes and hats and overcoats), but the terms do not adequately capture the spirit of the image (a person being detained at a demonstration).

There are a lot of ethical concerns about using computer vision, especially for recognizing faces and assigning emotions. If we were to employ this particular technology, it may be able to generate keywords or other descriptive metadata for the Boston Globe collection that may not be present on the back of an image, but we would need to be careful to make sure that the process does not embed problematic assessments into the description, like describing an image of a protest as a riot.

Computer vision is already being employed in some digital collection workflows. Carnegie Mellon University Libraries has developed an internal tool called CAMPI to help archivists enhance metadata. An archivist uses the software to tag selected images, then the program returns other images it identifies as visually similar, regardless of its box and folder, allowing the archivist to easily apply the same tags to those visually similar images without having to manually seek them out.

Many other aspects of AI and ML technologies will need to be researched and evaluated before they can be integrated into our digital collections workflows. We will need to evaluate tools and identify the skills that are needed to train staff to perform the work. We will also continue to watch leaders in this space as they dive deep into the world of artificial intelligence for library work.

Recommended resources:
Machine Learning + Libraries: A Report on the State of the Field / Ryan Cordell : https://blogs.loc.gov/thesignal/2020/07/machine-learning-libraries-a-report-on-the-state-of-the-field/
Digital Libraries, Intelligent Data Analytics, and Augmented Description / University Of Nebraska–Lincoln: https://digitalcommons.unl.edu/libraryscience/396/

100,000 public items available in the DRS!

The 100,000th publicly available file in the Digital Repository Service was deposited in July: a dissertation from the English Department titled Women Writing Racelessness: Performativity And Racial Absence In Twentieth Century Women’s Writing, by Sarah Payne. This milestone was achieved through the library’s and the university’s commitment to supporting open access to the scholarly output of the university, as well as to the archival artifacts that document the university’s history.

Many of the 100,000 public files are discoverable through Google and other search engines, as well as portals like the Digital Commonwealth and the Digital Public Library of America, which are designed to bring together digitized materials from various sources. Thanks to the openness of these materials, the DRS averages more than 2,000 unique visitors and more than 3,600 file interactions each day. Public materials stored in the DRS have been cited by regional and national news organizations, including the New York Times and WBUR, as well as in Reddit discussions and Wikipedia articles.

Here are a few digital collections for you to explore:

The DRS will continue to grow as Northeastern faculty, staff, and students continue to produce articles, images, research, and artifacts that represent the tremendous work happening at the university. Faculty and staff are welcome to sign in to the DRS and upload their own research publications, presentations, monographs, and datasets at their leisure. To get started uploading lots of materials for large projects, contact your subject librarian or the library’s Repository Team: Library-Repository-Team[@]neu.edu.