SLAS

MP44: Import System

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Zorayr Khalapyan, Alexander Roth, Dr. Lee Borenstein; UCLA School of Public Health

The consequences from emerging infectious diseases as well as the proliferation of established diseases demand a new task force ready for early identification, rapid response, and widespread surveillance. The current obstacles that impede an establishment of such an entity include lack of systems that allow information sharing across a network of local, national, and international institutions amongst other difficulties. To address this issue, a fully automated data import and validation system has been constructed that allows preregistered users to upload and validate data via secure, centralized, service based, online data interchange framework. The tool enables scientific groups and organizations to upload their survey, collection, or study data virtually from anywhere and anytime and receive instant validation and confirmation.
The constructed software provides temporary data repository where uploaded data undergoes validation, quality control modification if necessary, and final review by project managers. A part of the validation procedure includes tests for certain value ranges, permissible values, and existence of certain keys. All validation is done against a pre-specified and project-specific data format description managed and assigned by administrators. Upon completion of QC and validation process, the data may be released to the final data repository.

For assuring a high level of security, an access control system will allow only preregistered users to login with a username and a password. The authorization and authentication is based on user roles and permissions enabling users to have rights for only certain operations such as importing, validating, or managing projects. Additionally, each registered user in the system is bound by a profile which includes personal and organization information. To further achieve data integrity and traceability a complex trace system has been implemented to log an audit trail that identifies who did what, when, and why.
Allowing automated validation upon data import and an immediate validation feedback, the framework will increase efficiency and manageability of projects with high data volume and allow better information sharing amongst institutions and organizations. Future developments may include integration with various surveillance and surveying devices.

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