Collaboration#
Here we are trying to define what theoretically would be a collaboration with the Data Science Platform, so that our collaborators know how we work and as a reminder for us.
We understand our Data Science platform as a collaborative and supportive platform that disseminate pipelines and tools, help on statistics and machine learning, match skills between groups to foster collaborations, shares best practices in RDM, metadata, and coding practices, serves as domain specific knowledge mediation, and fosters collaboration with other bioinformaticians of other research groups.
Project Life cycle#
The way we see a project has different phases:
Initiating
Planning
Executing
Monitoring and controlling
Closing and Retrospective
We are allocating enough time for the two first steps (Inititating and Planning) contacting and organizing the necessary meeting to understand the project, its metadata and the context.
Very often the last step is made in a rush, we are trying to also allocate enough time for a proper project closure and project evaluation of it.
Our communication while doing a project is aiming to be open, professional, timely, proactive, transparent, constructive and inclusive. PLease contact us to give your feedback if you identify any aspect that we could improve