TY - BOOK
T1 - Epiverse-TRACE Summit Report: Collaborative Software Development Ecosystem for Public Health
AU - Cucunubá, Zulma M
AU - González-Uribe, Catalina
AU - Cordovez, Juan Manuel
AU - Niño-Machado, Natalia
AU - Díaz-Valderrama, Miller
AU - Fajardo-Pulido, Diana
PY - 2024/4/5
Y1 - 2024/4/5
N2 - Between the 26th of June and the 7th of July of 2023, 44 members of Epiverse-TRACE got together in Bogota (Colombia) to share their experiences and strengthen collaboration to develop an ecosystem of software for public health. As an extension of the summit, between the 30th of June and the 7th of July, the “TRACE-ing R Issues'' session took place to strengthen package development. During this week, software development teams met in person to address issues in co-design, planning of new functions for future integration, and, most importantly, enhancing collaboration among developers within Epiverse. This report consolidates the main discussions and conclusions of both meetings. It is organized around three main topics of discussion: (1) collaborative software development (2) assembling Research Software Engineers (RSE) and Data Science teams and (3) building communities of users. Each topic had a key aim and a set of questions orienting the summit activities.
AB - Between the 26th of June and the 7th of July of 2023, 44 members of Epiverse-TRACE got together in Bogota (Colombia) to share their experiences and strengthen collaboration to develop an ecosystem of software for public health. As an extension of the summit, between the 30th of June and the 7th of July, the “TRACE-ing R Issues'' session took place to strengthen package development. During this week, software development teams met in person to address issues in co-design, planning of new functions for future integration, and, most importantly, enhancing collaboration among developers within Epiverse. This report consolidates the main discussions and conclusions of both meetings. It is organized around three main topics of discussion: (1) collaborative software development (2) assembling Research Software Engineers (RSE) and Data Science teams and (3) building communities of users. Each topic had a key aim and a set of questions orienting the summit activities.
UR - https://zenodo.org/doi/10.5281/zenodo.10932686
U2 - 10.5281/ZENODO.10932686
DO - 10.5281/ZENODO.10932686
M3 - Commissioned report
BT - Epiverse-TRACE Summit Report: Collaborative Software Development Ecosystem for Public Health
ER -
