MLBN Open Data & Final Docs Published

I’m incredibly excited to announce that after three years of research, we have successfully completed our IMLS funded Measuring Library Broadband Networks (MLBN) project! All of our broadband measurement data, as well as all of the technical documentation related to the project, are open access and freely available for download via our MLBN Dataverse.

We have several open datasets and documents available in our Dataverse, including the following:

    • Year 1 MLBN Measurements – This dataset contains performance measurements collected at participating libraries during the first MLBN program year.
    • Year 2 MLBN Measurements – This dataset contains: Measurements conducted by devices in the MLBN program between 2020-02-01 and 2021-01-31 from 30 participating libraries and data provenance document describing: data collection instruments, data preparation and cleaning methods, generation of relevant metadata tables, and final analysis methods description.
    • Murakami Measurement Software – This dataset contains the code used on each MLBN measurement device, copied from Github:
    • Murakami Visualization Software – This dataset contains a copy of the standalone data visualization service, murkami-viz, produced during the MLBN program. The current version of the software can be found at:
    • MLBN Traceroutes and Scripts – This dataset contains Bash scripts used to collect traceroutes, conducted from the egress measurement device at each participating MLBN library. Traceroutes were conducted to each Ookla and M-Lab server during the course of the MLBN program.
    • MLBN Measurement System Documentation – This dataset contains comprehensive documentation on using and setting up the MLBN measurement system components.
    • Measuring Library Broadband Networks Training Manual – Final – The Training Manual contains complete documentation about the Measuring Library Broadband Networks project, including an overview of the project, measurement computer setup instructions, software running on the MBLN measurement computers, the data visualization platform, and further technical and troubleshooting details.

On behalf of our entire research team, I’d like to dedicate our work and this project to the memory of James Werle.

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