Agostinho, Daniela. “The Optical Unconscious of Big Data: Datafication of Vision and Care for Unknown Futures.”
Big Data & Society, vol. 6, no. 1, Jan. 2019.
DOI.org (Crossref), doi:
10.1177/2053951719826859.
Borgman, Christine L. “Research Data: Who Will Share What, with Whom, When, and Why?”
SSRN Electronic Journal, 2010, doi:
10.2139/ssrn.1714427.
---. “The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy.”
Proceedings of the Association for Information Science and Technology, vol. 53, no. 1, 2016, pp. 1–10.
DOI.org (Crossref), doi:
10.1002/pra2.2016.14505301057.
boyd, danah, and Kate Crawford. “Critical Questions for Big Data.”
Information, Communication & Society, vol. 15, no. 5, June 2012, pp. 662–79.
DOI.org (Crossref), doi:
10.1080/1369118x.2012.678878.
Casumbal-Salazar, Iokepa. “A Fictive Kinship: Making ‘Modernity,’ ‘Ancient Hawaiians,’ and the Telescopes on Mauna Kea.”
Native American and Indigenous Studies, vol. 4, no. 2, 2017, pp. 1–30.
JSTOR, doi:
10.5749/natiindistudj.4.2.0001.
Christen, Kimberly. “Does Information Really Want to Be Free? Indigenous Knowledge Systems and the Question of Openness.”
International Journal of Communication, vol. 6, Dec. 2015, pp. 2870–93.
Zotero,
http://ijoc.org/ojs/index.php/ijoc/article/view/1618.
Dalton, Craig M., et al. “Critical Data Studies: A Dialog on Data and Space.”
Big Data & Society, vol. 3, no. 1, 2016, p. 9, doi:
10.1177/2053951716648346.
Ekbia, Hamid, et al. “Big Data, Bigger Dilemmas: A Critical Review.”
Journal of the Association for Information Science and Technology, vol. 66, no. 8, Aug. 2015, pp. 1523–45.
DOI.org (Crossref), doi:
10.1002/asi.23294.
Genovese, Taylor R.
The New Right Stuff: Social Imaginaries of Outer Space and the Capitalist Accumulation of the Cosmos. Northern Arizona University, July 2017, doi:
10.31235/osf.io/r3fpc.
Gillespie, Tarleton. “The Relevance of Algorithms.”
Media Technologies, edited by Tarleton Gillespie et al., The MIT Press, 2014, pp. 167–94.
DOI.org (Crossref), doi:
10.7551/mitpress/9780262525374.003.0009.
Gitelman, Lisa, editor. “Raw Data” Is an Oxymoron. The MIT Press, 2013.
Iliadis, Andrew, and Federica Russo. “Critical Data Studies: An Introduction.”
Big Data & Society, vol. 3, no. 2, Dec. 2016.
DOI.org (Crossref), doi:
10.1177/2053951716674238.
Johnston, Sean F.
A History of Light and Colour Measurement: Science in the Shadows. CRC Press, 2001.
Library of Congress ISBN, doi:
10.1201/9781420034776.
Kerssens, Niels. “De-Agentializing Data Practices: The Shifting Power of Metaphor in 1990s Discourses on Data Mining.”
Journal of Cultural Analytics, 2019.
DOI.org (Crossref), doi:
10.22148/16.037.
Kessler, Elizabeth A.
Picturing the Cosmos: Hubble Space Telescope Images and the Astronomical Sublime. University of Minnesota Press, 2012.
Open WorldCat,
http://public.eblib.com/choice/publicfullrecord.aspx?p=1110053.
Kitchin, Rob. “Big Data, New Epistemologies and Paradigm Shifts.”
Big Data & Society, vol. 1, no. 1, July 2014.
DOI.org (Crossref), doi:
10.1177/2053951714528481.
Levy, Karen EC, and David Merritt Johns. “When Open Data Is a Trojan Horse: The Weaponization of Transparency in Science and Governance.”
Big Data & Society, vol. 3, no. 1, Jan. 2016.
DOI.org (Crossref), doi:
10.1177/2053951715621568.
McCray, W. Patrick. “‘Beautiful and Cantankerous Instruments’: Telescopes, Technology, and Astronomy’s Changing Practice.”
Experimental Astronomy, vol. 25, no. 1–3, Aug. 2009, pp. 79–89.
DOI.org (Crossref), doi:
10.1007/s10686-009-9138-9.
---. “The Biggest Data of All: Making and Sharing a Digital Universe.”
Osiris, vol. 32, no. 1, Sept. 2017, pp. 243–63.
DOI.org (Crossref), doi:
10.1086/693912.
McQuillan, Dan. “Data Science as Machinic Neoplatonism.”
Philosophy & Technology, vol. 31, no. 2, June 2018, pp. 253–72.
DOI.org (Crossref), doi:
10.1007/s13347-017-0273-3.
Murillo, Luis Felipe R., et al. “Partial Perspectives in Astronomy: Gender, Ethnicity, Nationality and Meshworks in Building Images of the Universe and Social Worlds.”
Interdisciplinary Science Reviews, vol. 37, no. 1, Mar. 2012, pp. 36–50.
DOI.org (Crossref), doi:
10.1179/0308018812z.0000000003.
Prescod-Weinstein, Chanda.
Decolonizing Science by Reconstructing Observers.
https://medium.com/space-anthropology/decolonizing-science-by-reconstructing-observers-d62168fca19f. Critical Histories and Activist Futures: Science, Medicine and Racial Violence, Yale University, New Haven, CT.
Redfield, Peter. “The Half-Life of Empire in Outer Space.”
Social Studies of Science, vol. 32, no. 5–6, Dec. 2002, pp. 791–825.
DOI.org (Crossref), doi:
10.1177/030631270203200508.
Ribes, David. “STS, Meet Data Science, Once Again.”
Science, Technology, & Human Values, vol. 44, no. 3, Sept. 2018, pp. 514–539, doi:
10.1177/0162243918798899.
Scroggins, Michael J., et al. “Thorny Problems in Data (-Intensive) Science.”
Publications of the UCLA Center for Knowledge Infrastructures, Oct. 2019.
escholarship.org,
https://escholarship.org/uc/item/31b1z69c.
Scroggins, Michael, and Irene Pasquetto. “Labor Out of Place: On the Varieties and Valences of (In)Visible Labor in Data-Intensive Science.”
Publications of the UCLA Center for Knowledge Infrastructures, May 2019.
escholarship.org,
https://escholarship.org/uc/item/8wp6t6nt.
Thornham, Helen, and Edgar Gómez Cruz. “Hackathons, Data and Discourse: Convolutions of the Data (Logical).”
Big Data & Society, vol. 3, no. 2, Dec. 2016.
DOI.org (Crossref), doi:
10.1177/2053951716679675.
Vaidhyanathan, Siva. “Critical Information Studies: A Bibliographic Manifesto.”
SSRN Electronic Journal, 2005.
DOI.org (Crossref), doi:
10.2139/ssrn.788984.
Van Dijck, Jose. “Datafication, Dataism and Dataveillance: Big Data between Scientific Paradigm and Ideology.”
Surveillance & Society, vol. 12, no. 2, May 2014, pp. 197–208.
DOI.org (Crossref), doi:
10.24908/ss.v12i2.4776.
Vertesi, Janet. Seeing like a Rover: How Robots, Teams, and Images Craft Knowledge of Mars. The University of Chicago Press, 2015.
Vertesi, Janet, and Paul Dourish. “The Value of Data: Considering the Context of Production in Data Economies.”
Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work - CSCW ’11, ACM Press, 2011, p. 533.
DOI.org (Crossref), doi:
10.1145/1958824.1958906.