A COMPASS FOR NAVIGATING BIOIMAGING'S BIG DATA
Elizabeth Arikawa1, Benjamin Bowen2, Oliver Rubel2.
1University of California, Merced, Merced, CA, 2Lawrence Berkeley National Laboratory, Berkeley, CA.
As mass spectrometry imaging continues to grow as a field, proper documentation of data becomes of increasing importance to these researchers. Metadata (i.e., data about data) includes information associated with objects for the purpose of description, administration, and preservation. OpenMSI is a web-based visualization, analysis, and management system for mass spectrometry imaging data. As the site’s user base increases, the need for useful metadata becomes increasingly relevant. OpenMSI currently lacks a way of collecting and storing metadata, limiting the site’s growth. Using Django, a web development framework, we created a metadata app with a standardized form and database model. A database enables the data to be managed efficiently and to be stored for years to come. Django’s framework provides a powerful and efficient way to facilitate the creation and manipulation of form data. By creating a hierarchy for the data, we separated the data into 3 forms: Project, Experiment, and Assay. To make the form adaptable for future needs of OpenMSI, we used South, a database migration app, to allow for fields to be added, removed, and/or modified. With this new metadata app, OpenMSI will be able to host more images and continue to grow their user base for years to come.