  There has been an increasing recognition of the value of data and of
data-based decision making. As a consequence, the development of data science
as a field of study has intensified in recent years. However, there is no
systematic and comprehensive treatment and understanding of data science. This
article describes a systematic and end-to-end framing of the field based on an
inclusive definition. It identifies the core components making up the data
science ecosystem, presents its lifecycle modeling the development process, and
argues its interdisciplinarity.
