FINA Digital Archive: A road to building in-house migration workflows

FINA Digital Archive: A road to building in-house migration workflows

14-10-3


Abstract / topic summary

During this workshop session, we will outline the history and use cases regarding the migration of data from various FINA collections and database sources. We will discuss FINA’s current workflow for analyzing descriptive and digital asset data and collaboratively develop a data table for automated migration, including the import of associated files. The session will also cover methods for executing automated data migration into collection databases (such as CSV table transfers and PowerShell scripts). We will conclude the session by jointly performing a migration of film stills into FINA’s Collection Management System.


Speakers summaries


1 Joanna Kaliszewska


Joanna Kaliszewska

Digital archivist and cultural manager specializing in preserving audiovisual heritage. She was responsible for implementing digital storage solutions and metadata standards for the film and audiovisual collections of the National Film Archive and FINA. She has experience implementing data storage solutions in DAM and MAM systems in the public and commercial sectors. From 2020 to 2021, she led the FINA Digital Repository team, and since 2025, she has served as Head of the FINA Digital Collections and Collection Information Management Department.




1 Antonina Hejwowska


Antonina Hejwowska

Antonina Hejwowska – specialist in the Digital Collections and Collection Information Management Department at the National Film Archive – Audiovisual Institute (FINA). Currently manages digital assets via the Collection Management System (SZZ FINA), verifying data structure, quality, and compliance with international standards to facilitate data migration, integration, and exchange. Previously worked in the museum sector, focusing on data analysis; she headed the Department of Museum Statistics and Parametrization at the National Institute for Museums, where she was responsible for developing research methodologies, coordinating the collection and verification of statistical data, overseeing the analysis and publications.

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