Danny Lämmerhirt

Danny Lämmerhirt works on the politics of data, sociology of quantification, metrics and policy, data ethnography, collaborative data, data governance, as well as data activism. You can follow his work on Twitter at @danlammerhirt. He was research coordinator at Open Knowledge Foundation.

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  • Readers of this post should be interested in

    Priego, Ernesto; McKiernan, Erin; Posada, Alejandro; Hartley, Ricardo; Rodríguez-ortega, Nuria; Fiormonte, Domenico; Gil, Alex; Logan, Corina; Alperin, Juan Pablo; Mounce, Ross; Eglen, Stephen; Trigueros, Ernesto Miranda; Lawson, Stuart; Gatto, Laurent; Ramos, Adela; Pérez, Natalia (2017):
    Scholarly Publishing, Freedom of Information and Academic Self-Determination: The UNAM-Elsevier Case. figshare.
    https://doi.org/10.6084/m9.figshare.5632657.v1

    • I wrote about a sustainable open model for scholarly publishing here last year:

      http://rufuspollock.com/2016/05/16/open-scholarly-publishing/

      > This post outlines how an open model of scholarly publishing would work and how it would be funded.

      > Our current system for scholarly publishing is highly inefficient and poorly suited to the Internet age. An open model would cure many of the current ills as well as offering greater flexibility and greater potential for innovation. However, exactly how an open model would work, and how it would be funded has not always been clear.

      > The following sets out a simple model for scholarly publishing built around open information both in scholarly content and in the mechanisms of scholarly discovery. As well as the outline of of the overall dynamics – e.g. who publishs where and how – it also describes a sustainable and efficient funding mechanism which is key to demonstrating that an alternative, open, system is truly viable.

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