
Victoria Lubitch enhanced the IQSS/dataverse repository by developing and refining DDI metadata export and import flows, focusing on data interoperability and licensing compliance. She implemented features in Java that export terms of use and license information as structured XML, ensuring datasets are export-ready with accurate metadata. Her work included robust XML parsing, DTO mapping, and comprehensive unit testing to validate diverse data scenarios. Victoria also improved the DDI Editing API by adding XML validation and informative error handling, returning precise responses for malformed input. These contributions strengthened backend reliability, improved data modeling, and reduced downstream remediation for safer data sharing.

March 2025 – IQSS/dataverse: Delivered DDI Editing API improvements with XML validation and enhanced error handling, plus test refinements. Focused on data integrity, API reliability, and maintainability.
March 2025 – IQSS/dataverse: Delivered DDI Editing API improvements with XML validation and enhanced error handling, plus test refinements. Focused on data integrity, API reliability, and maintainability.
December 2024 (IQSS/dataverse): Focused on strengthening DDI metadata flows to improve data interoperability, license visibility, and compliance. Delivered three main capabilities and a bug fix, with accompanying tests and DTO changes, enabling export-ready datasets with/without terms of use. The work enhances the accuracy and usability of DDI exports/imports, reducing downstream remediation and enabling safer data sharing.
December 2024 (IQSS/dataverse): Focused on strengthening DDI metadata flows to improve data interoperability, license visibility, and compliance. Delivered three main capabilities and a bug fix, with accompanying tests and DTO changes, enabling export-ready datasets with/without terms of use. The work enhances the accuracy and usability of DDI exports/imports, reducing downstream remediation and enabling safer data sharing.
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