A4 Artikkeli konferenssijulkaisussa
Managing and Composing Teams in Data Science : An Empirical Study (2021)

Aho, T., Kilamo, T., Lwakatare, L., Mikkonen, T., Sievi-Korte, O., & Yaman, S. (2021). Managing and Composing Teams in Data Science : An Empirical Study. In Y. Chen, H. Ludwig, Y. Tu, U. Fayyad, X. Zhu, X. Hu, S. Byna, X. Liu, J. Zhang, S. Pan, V. Papalexakis, J. Wang, A. Cuzzocrea, & C. Ordonez (Eds.), IEEE Big Data 2021 : Proceedings of the 2021 IEEE International Conference on Big Data (pp. 2291-2300). IEEE. https://doi.org/10.1109/bigdata52589.2021.9671737

JYU-tekijät tai -toimittajat

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Aho, Timo; Kilamo, Terhi; Lwakatare, Lucy; Mikkonen, Tommi; Sievi-Korte, Outi; Yaman, Sezin

Emojulkaisu: IEEE Big Data 2021 : Proceedings of the 2021 IEEE International Conference on Big Data

Emojulkaisun toimittajat: Chen, Yixin; Ludwig, Heiko; Tu, Yicheng; Fayyad, Usama; Zhu, Xingquan; Hu, Xiaohua; Byna, Suren; Liu, Xiong;
Zhang, Jianping; Pan, Shirui; Papalexakis, Vagelis; Wang, Jianwu; Cuzzocrea, Alfredo; Ordonez, Carlos

Konferenssin paikka ja aika: Virtual, 15.-18.12.2021

ISBN: 978-1-6654-4599-3

eISBN: 978-1-6654-3902-2

Julkaisuvuosi: 2021

Artikkelin sivunumerot: 2291-2300

Kustantaja: IEEE

Kustannuspaikka: Piscataway, NJ

Julkaisumaa: Yhdysvallat (USA)

Julkaisun kieli: englanti

DOI: https://doi.org/10.1109/bigdata52589.2021.9671737

Pysyvä verkko-osoite: http://dx.doi.org/10.1109/bigdata52589.2021.9671737

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus: 

Tiivistelmä

Data science projects have become commonplace over the last decade. During this time, the practices of running such projects, together with the tools used to run them, have evolved considerably. Furthermore, there are various studies on data science workflows and data science project teams. However, studies looking into both workflows and teams are still scarce and comprehensive works to build a holistic view do not exist. This study bases on a prior case study on roles and processes in data science. The goal here is to create a deeper understanding of data science projects and development processes. We conducted a survey targeted at experts working in the field of data science (n=50) to understand data science projects’ team structure, roles in the teams, utilized project management practices and the challenges in data science work. Results show little difference between big data projects and other data science. The found differences, however, give pointers for future research on how agile data science projects are, and how important is the role of supporting project management personnel. The current study is work in progress and attempts to spark discussion and new research directions.

YSO-asiasanat: datatiede; projektit; projektinhallinta; projektityö; tiimit; tiimityö; big data

Vapaat asiasanat: data science; agile practices; teamwork; project management

Liittyvät organisaatiot

OKM-raportointi: Kyllä

Raportointivuosi: 2021

JUFO-taso: 1