What is meant by "Data Mapping" in RelativityOne?

Data mapping in RelativityOne refers to the process of identifying and organizing data fields for import and export. This is a crucial step in ensuring that data is accurately transferred between different systems, such as when loading data into RelativityOne for review or exporting data for reporting or other purposes.

During the data mapping process, users define how data fields from a source (like a database or file) correspond to fields in RelativityOne. This includes detailing the structure of the input data, which fields are necessary, and how they should be aligned with existing relational databases within the system. Proper data mapping ensures that all pertinent information is captured correctly and that the data maintains its integrity throughout the import or export process. This alleviates issues that may arise from misalignment or data loss during transfers, ultimately leading to a smoother and more efficient workflow in legal review and data management tasks.

The other options focus on different functionalities within the RelativityOne platform but do not encapsulate the specific concept of data mapping. Connecting user profiles with project data represents user management, integrating social media content pertains to content integration, and developing customized user interfaces relates to user experience design. These aspects are valuable in the overall operation of RelativityOne but do not define the process of handling data