Fostering Interdisciplinary Data Cultures through Early Career Development: The RDA/US Data Share Fellowship

Kouper, Inna; Scheidt, Lois Ann; Plale, Beth

doi:10.5334/dsj-2021-002

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…These were the studies of data practices and competencies of people working in organizational settings (papers 1, 2, 6, 50, 61, 70, 75), but also papers considering competencies from a broader, societal view (papers 14,45,46,63,74). Another group focused on educational needs (papers 25,33,35,42,62,69).…”

Section: Research Levelsmentioning

confidence: 99%

Data Cultures: a scoping literature review

Oliver¹,

Cranefield²,

Lewellen³

2023

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Introduction. This paper reports the outcomes from a literature review of the concept of data cultures as the first step in extending the body of knowledge relating to information culture in the information science domain and raising awareness of the need for further research. Method. A scoping literature review was conducted of English language peer reviewed publications indexed in SCOPUS as well as specialist information and computer science databases. Results. There is a rich and growing body of research concerned with the concept of data cultures, spread across a wide range of disciplines but without any evidence of a universally adopted shared definition or understanding. Information science expertise does not appear to be widely recognised as providing any essential insight into this problem space. Conclusion. The knowledge and understanding of information cultures gained from information science research does not seem to be being applied to data dominated environments. Expertise relating to information behaviour, digital literacies, information management, digital sustainability and preservation are unique and essential perspectives to understand issues relating to data cultures.

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Section: Research Levelsmentioning

confidence: 99%

Data Cultures: a scoping literature review

Oliver¹,

Cranefield²,

Lewellen³

2023

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“…Or, alternatively, how do we develop the translational tools to map common meanings across different languages? It is notable that these concerns are often raised in the name of fairness, equity, and inclusion and have resulted in commendable educational efforts (Bezuidenhout et al 2021;Dominik et al 2022;Kouper et al 2021).…”

Section: Where Are the 'Social' And The 'Cultural' In Data Science Di...mentioning

confidence: 99%

Attending to the Cultures of Data Science Work

Poirier¹

2023

Data Science Journal

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This essay reflects on the shifting attention to the "social" and the "cultural" in data science communities. While recently the "social" and the "cultural" have been prioritized in data science discourse, social and cultural concerns that get raised in data science are almost always outwardly focused -applying to the communities that data scientists seek to support more so than more computationally-focused data science communities. I argue that data science communities have a responsibility to attend not only to the cultures that orient the work of domain communities, but also to the cultures that orient their own work. I describe how ethnographic frameworks such as thick description can be enlisted to encourage more reflexive data science work, and I conclude with recommendations for documenting the cultural provenance of data policy and infrastructure.

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Fostering Interdisciplinary Data Cultures through Early Career Development: The RDA/US Data Share Fellowship

Cited by 2 publications

References 29 publications

Data Cultures: a scoping literature review

Data Cultures: a scoping literature review

Attending to the Cultures of Data Science Work

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