DataDock: An Open Source Data Hub for Research
Lexington Whalen (1), Homayoun Valafar (1) ((1) University of South, Carolina)

TL;DR
DataDock is an open-source, customizable data sharing platform designed for research teams, enabling cost-effective file transfer, review, and commenting without restrictions on data type or size.
Contribution
It introduces a flexible, open-source data hub tailored for research needs, addressing limitations of existing file-sharing services by supporting review and customization.
Findings
Supports unlimited data types and sizes.
Facilitates collaborative review and commenting.
Operates on research lab servers without extra costs.
Abstract
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…
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management · Data Quality and Management
