Data science has employed great research efforts in develo** advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

Data Science projects aim to methodologically extract knowledge and value from data to
help organizations to improve performance. Dedicated process models are applied to …

Although interactive technologies increasingly shape teamwork, their relationship with team
effectiveness (inputs, processes, emergent states, and outputs) remains unclear. To provide …

GitLab is a software company that works “all remote” at the scale of more than 1000
employees located in more than 60 countries. GitLab has no physical office and its …

Data scientists face a steep learning curve in understanding a new domain for which they
want to build machine learning (ML) models. While input from domain experts could offer …

Participants in open collaboration communities coproduce knowledge despite minimal
explicit communication to coordinate the efforts. Studying how participants coordinate …

In recent years, the data science community has pursued excellence and made significant
research efforts to develop advanced analytics, focusing on solving technical problems at …

Through knowledge extraction from data with various methods, Data Science (DS) allows
organizations to achieve improvements in performance. The execution of these projects is …

Although research on open collaboration for innovation has generally focused on the
voluntary participation of individuals who are not strictly governed by formal authority …

While the open-source software development model has led to successful large-scale
collaborations in building software systems, data science projects are frequently developed …