title: DeID - a data sharing tool for neuroimaging studies.
abstract: Funding institutions and researchers increasingly expect that data will be shared to increase scientific integrity and provide other scientists with the opportunity to use the data with novel methods that may advance understanding in a particular field of study. In practice, sharing human subject data can be complicated because data must be de-identified prior to sharing. Moreover, integrating varied data types collected in a study can be challenging and time consuming. For example, sharing data from structural imaging studies of a complex disorder requires the integration of imaging, demographic and/or behavioral data in a way that no subject identifiers are included in the de-identified dataset and with new subject labels or identification values that cannot be tracked back to the original ones. We have developed a Java program that users can use to remove identifying information in neuroimaging datasets, while still maintaining the association among different data types from the same subject for further studies. This software provides a series of user interaction wizards to allow users to select data variables to be de-identified, implements functions for auditing and validation of de-identified data, and enables the user to share the de-identified data in a single compressed package through various communication protocols, such as FTPS and SFTP. DeID runs with Windows, Linux, and Mac operating systems and its open architecture allows it to be easily adapted to support a broader array of data types, with the goal of facilitating data sharing. DeID can be obtained at http://www.nitrc.org/projects/deid.
authors.affiliation: School of Computing, Clemson University Clemson, SC, USA.
authors.forename: Xuebo
authors.initials: X
authors.lastname: Song
authors.affiliation: School of Computing, Clemson University Clemson, SC, USA.
authors.forename: James
authors.initials: J
authors.lastname: Wang
authors.affiliation: School of Computing, Clemson University Clemson, SC, USA.
authors.forename: Anlin
authors.initials: A
authors.lastname: Wang
authors.affiliation: School of Computing, Clemson University Clemson, SC, USA.
authors.forename: Qingping
authors.initials: Q
authors.lastname: Meng
authors.affiliation: School of Computing, Clemson University Clemson, SC, USA.
authors.forename: Christian
authors.initials: C
authors.lastname: Prescott
authors.affiliation: Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina Charleston, SC, USA.
authors.forename: Loretta
authors.initials: L
authors.lastname: Tsu
authors.affiliation: Department of Otolaryngology - Head and Neck Surgery, Medical University of South Carolina Charleston, SC, USA.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Eckert
keywords: data anonymization; data auditing; data sharing; de-identification; neuroimaging