Scientific research data is increasingly digital and extensive in size. Digital experimental data is characterized by variations in configuration parameters, systems used, and output formats that do not exist with print or textual data stored in laboratory notebooks. Effective and efficient management of these growing, complex, and computationally-generated data sets are a particular challenge for researchers in academic scientific research environments. One issue facing researchers is that grant funding typically does not require or fund a data management plan. A second issue is that much of the research data is primarily generated, organized and stored by graduate students and post doctoral fellows who regularly join and leave the research team. For this project, the director of the SBI Core is collaborating with information and library science students and professionals to analyze the data environment and workflows and to determine viable solutions for improving data management processes in that environment.