Questioning the legitimacy of data.

This paper is based upon the closing keynote presentation that was given by danah boyd at the inaugural NISO Plus conference held from February 23–25, 2020 in Baltimore, MD (USA). It focuses on how data are used, and how they can be manipulated to meet specific objectives – both good and bad. The paper reinforces the importance of understanding the biases and limitations of any data set. Topics covered include data quality, data voids, data infrastructures, alternative facts, and agnotology. The paper stresses that data become legitimate because we collectively believe that those data are sound, valid, and fit for use. This not only means that there is power in collecting and disseminating data, but also that there is power in interpreting and manipulating the data. The struggle over data’s legitimacy says more about our society – and our values – than it says about the data itself.