Understanding alternatives in data analysis activities
Gespeichert in:
| Titel: | Understanding alternatives in data analysis activities |
|---|---|
| Autoren: | Liu, Jiali, Boukhelifa, Nadia, Eagan, James |
| Weitere Verfasser: | Design, Interaction, Visualization & Applications (DIVA), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom Paris (IMT)-Télécom Paris, Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Institut Mines-Télécom Paris (IMT)-Télécom Paris, Institut Mines-Télécom Paris (IMT)-Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris), Département Informatique et Réseaux (INFRES), Télécom ParisTech, Université Paris Saclay (COmUE), Génie et Microbiologie des Procédés Alimentaires (GMPA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech |
| Quelle: | ACM CHI 2019 Workshop on Human-Centered Study of Data Science Work Practices ; https://hal.science/hal-02192510 ; ACM CHI 2019 Workshop on Human-Centered Study of Data Science Work Practices, May 2019, Glasgow, United Kingdom. pp.5 |
| Verlagsinformationen: | CCSD |
| Publikationsjahr: | 2019 |
| Schlagwörter: | sense-making, Data science, visual analytics, Author Keywords Data science, [SDV]Life Sciences [q-bio] |
| Geographisches Schlagwort: | Glasgow, United Kingdom |
| Beschreibung: | Data workers are non-professional data scientists who engage in data analysis activities as part of their daily work. In this position paper, we share past and on-going work to understand data workers’ sense-making practices. We use multidisciplinary approaches to explore their human-tool partnerships. We introduce our current research on the role of alternatives in data analysis activities. Finally, we conclude with open questions and research directions. |
| Publikationsart: | conference object |
| Sprache: | English |
| Relation: | PRODINRA: 476226 |
| Verfügbarkeit: | https://hal.science/hal-02192510 https://hal.science/hal-02192510v1/document https://hal.science/hal-02192510v1/file/alternatives-husdat-chi19.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| Dokumentencode: | edsbas.CFA53E9A |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Data workers are non-professional data scientists who engage in data analysis activities as part of their daily work. In this position paper, we share past and on-going work to understand data workers’ sense-making practices. We use multidisciplinary approaches to explore their human-tool partnerships. We introduce our current research on the role of alternatives in data analysis activities. Finally, we conclude with open questions and research directions. |
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