Stress in Pregnancy Research: Dynamic Database, Front-End and Back-End Abstract 1,2, Serena Schauer 1,2 Gabriel Campos 1,2, Joseph Huaynate 1,2, Jackie Finik 1,3, Yoko Nomura, Ph.D. 1,3 1 Department of Psychology, Queens College, City University of New York, Kissena Blvd., Flushing, NY, Department of Computer Science, Queens College, City University of New York, Kissena Blvd., Flushing, NY, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1428 Madison Ave, New York, NY, Maternal Groups - Acknowledgements: the study is funded by the NIMH (K01MH080062). Thank you to the families who participated in this study and the entire labor and delivery team at Mount Sinai Hospital Background: The Stress in Pregnancy Study ( SIP Study, PI: Yoko Nomura) is a longitudinal birth cohort study conducted within the Psychology Department at Queen College. This research is composed of several phases of data collection including surveys given to participants throughout their pregnancy. After birth both mother and child are followed by the research team, and evaluated at annual follow-up visits to assess the impact of maternal stress on the child’s health. The resulting data is then stored on a static database to be used by health professionals and researchers involved in this study. Aim: Through innovative database development we will create a dynamic interface allowing data to be directly uploaded combatting several issues with static databases, such as loss of data, overwritten data, additional labor, and loss of time. Overview: Frameworks will be needed in order to setup the database. Initially we will determine where to host the database, then link it with the server. A subset of the database will be created to test communication with server, after which all additional data will be added. Methods Goal Gather Requirements: Identify the data researchers of this project require. List the spreadsheets that are to be moved to a database and screens to support the database. A word document will be created detailing the requirements. Analyze the Current System: Add details to every column on every spreadsheet and identify the type of data in each column. Regularly review our datasheets and columns with the researchers. Through this step an excel spreadsheet detailing every spreadsheet tab and column can be delivered. Design the New Database: From our previous analysis of the system, a normalized database design will be created. This will allow grouping of the spreadsheets according to their data types. These steps will enable us in the construction of an Entity – Relationship Diagram. Code the Database: The creation of the tables with be made using SQL, allowing us to deliver the physical database. Create Loader Program: The use of batch files and SQL Loader Programs will enable the loading of data from the spreadsheets into the database. We shall adjust the database design to carter to data idiosyncrasies. The outcome will be that all data stored, will be up to date. Build Screens to Support the Database: Screens will be created, allowing maintenance of every table. Create a Data Migration Plan: Times will be scheduled where spreadsheets will be frozen and data will be uploaded into the database. Once imported data has been validated, we will test screens. Create a Rollback Plan: Precautions and procedures will be established prior to making the data writable again. These procedures will become standard for data import. Parent Key Child Key Our overreaching goal in creating this accessible database is to increase productivity and efficiency while minimizing attrition in this study by streamlining data collection from participants. This is a translational and innovative project which will make ongoing research at Queens College more reliable, effective, and affordable. SIP Database