  Every research project necessitates data, often requiring sharing and
collaborative review within a team. However, there is a dearth of good
open-source data sharing and reviewing services. Existing file-sharing services
generally mandate paid subscriptions for increased storage or additional
members, diverting research funds from addressing the core research problem
that a lab is attempting to work on. Moreover, these services often lack direct
features for reviewing or commenting on data quality, a vital part of ensuring
high quality data generation. In response to these challenges, we present
DataDock, a specialized file transfer service crafted for specifically for
researchers. DataDock operates as an application hosted on a research lab
server. This design ensures that, with access to a machine and an internet
connection, teams can facilitate file storage, transfer, and review without
incurring extra costs. Being an open-source project, DataDock can be customized
to suit the unique requirements of any research team, and is able to evolve to
meet the needs of the research community. We also note that there are no
limitations with respect to what data can be shared, downloaded, or commented
on. As DataDock is agnostic to the file type, it can be used in any field from
bioinformatics to particle physics; as long as it can be stored in a file, it
can be shared. We open source the code here: https://github.com/lxaw/DataDock
