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What are data sprints for?

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What are data sprints for?

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dc.contributor.author Joceli Omena, Janna
dc.contributor.author Cano-Orón, Lorena
dc.contributor.author Gobbo, Beatrice
dc.contributor.author Flores, Ana Marta
dc.date.accessioned 2022-07-12T10:16:56Z
dc.date.available 2022-07-13T04:45:06Z
dc.date.issued 2022 es_ES
dc.identifier.citation What are data sprints for? Janna Joceli Omena, Lorena Cano-Orón, Beatrice Gobbo, Ana Marta Flores. Dígitos. Revista de Comunicación Digital. n. 8 (2022) pp. 9-30. es_ES
dc.identifier.uri https://hdl.handle.net/10550/83405
dc.description.abstract The data sprint approach enables various objectives for the digital methods community, from fostering interdisciplinary collaboration to providing teaching-learning spaces regarding creative methods. However, data sprints’ purpose, advantages and concrete results are still little known across disciplines. Thus, this paper presents four facets pertaining to and deriving from data sprints to explain their prospects for different (non-) academic communities. First, we define the data sprint approach, providing a detailed description of what data sprints are and what they involve in practice and, in turn, propose guidance to facilitate the replicability of this work method. Second, we elucidate how data sprints are (1) a means of teaching and learning digital methods research, arguing that the data sprint environment is not only (2) a space for methods and tools creation but also (3) a reflective tool to understand the triad of data-, software- and platform-oriented research (from the standpoint of practice). Therefore, data sprints offer researchers situational ways to access and critique scientific knowledge production. Finally, we address a standard post-sprint procedure, which is the last facet: (4) the reutilisation of data sprint reports for producing scientific knowledge, through academic and non-academic publications, as an established research practice. The four facets unpack the data sprint approach for a broader audience whilst indicating the possible takeaways during and after such events. We conclude with reflections from and on data sprints. es_ES
dc.language.iso en es_ES
dc.title What are data sprints for? es_ES
dc.type journal article es_ES
dc.identifier.doi 10.7203/drdcd.v1i8.253 es_ES
dc.accrualmethod - es_ES
dc.embargo.terms 0 days es_ES

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