Music ID Digital Research Fellowship

We are proud to announce the winner of the first Music ID Digital Research Fellowship in August 2018.

We are delighted that our Committee have awarded the first Music ID Research Fellowship Prize to Thomas Johnson, Visiting Assistant Professor, Skidmore College, for his proposal, “Identity, Genre, and Chart Success.” The Committee felt this was the strongest proposal after careful consideration of a range of very strong entries.

The winning proposal can be seen here.

We will update this page with the top entries from around the world to show the wealth of ideas which Music ID generates in the research community.

Scholars applied from many institutions, including

Bridgewater State University; Skidmore College; University of Michigan-Dearborn; Temple University; University of California, Riverside; University of Arizona; The University of Texas at San Antonio; Virginia Commonwealth University; Bridgewater State University; Liverpool Hope University Creative Campus; Birmingham City University; Universidad Computense of Madrid; National University of Music Bucharest


Music ID sponsors a new annual Digital Research Fellowship in popular music studies.

Music ID is a platform aimed at academics that compiles current and historical music industry data into a single, easy-to-use source. Incorporating 5,540 different charts spanning 74 countries, Music ID provides access to chart information from Billboard and the Official Charts Company dating back to the 1950s, as well as contemporary, day-to-day statistics on iTunes downloads, Spotify and Apple Music streams, and Shazam searches. It also includes built-in visualization tools which allow users to create and export customizable tables and graphs.

The fellowship will be awarded to a scholar whose work best incorporates data in popular music research; special preference will be given to proposals that demonstrate how they will benefit from access to the Music ID platform. The recipient will receive $1,000 and access to Music ID for one year. All other applicants will receive six months of access to the platform.

In order to be considered, interested applicants sent an anonymized, one-page research plan as a PDF to by August 1, 2018. The recipient was chosen through a blind review process. The evaluation committee is comprised of Brian F. Wright (Fairmont State University), Mike D’Errico (Albright College), Kate Galloway (Wesleyan University), and Amy Coddington (Amherst College).

Submissions from faculty, independent scholars, and graduate students are all encouraged and welcome. International applicants are also welcome, but all submissions must be in English.

Powerful analytics

Sophisticated tools allow scholars to interpret the impact of music using the
sales data that drives the rankings
to analyse, compare and contrast musical trends in place and time at the touch of a button.

Links to leading music journals

Instant links to leading popular music journals; including Cambridge University Press' Popular Music, Wiley's Journal of Popular Music Studies, and Taylor and Francis' Popular Music and Society and Rock's Backpages.

World Events

Put music in context with economic, political, entertainment, sporting and scientific key facts for each year - as part of the positioning of the impact of music on political science, cultural studies, american studies and music history.

Over 60 years of music data

Now including contemporary weekly stream count from Spotify.
A single search of all content - international charting albums and singles in many genres under exclusive academic licence from Billboard and similar authorised providers in the Americas, Europe and Asia.

Innovative yet intuitive functionality

Developed in close consultation with experienced music librarians, Music ID has been tried and tested to ensure it is accessible to scholars, students and researchers in diverse music and social science disciplines.

Music Data Analysis

Explore videos on how to use Music ID and read Research Insights about its use in scholarship. We feature a new companion database of semantic indexing of the web bringing together videos, bios and artist relationships in MusicWeb

MusicWeb - semantic indexing of artists

The innovative service MusicWeb brings together information every artist (including those which never had albums or singles in the charts). This includes videos, bios, and relationships with other bands, artists and similar genres.