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Vancouver Statement on Collections as Data (ES)

Authors: Padilla, Thomas; Scates Kettler, Hannah; Varner, Stewart; Shorish, Yasmeen;

Vancouver Statement on Collections as Data (ES)

Abstract

English translation French translation Arabic translation Desde que se publicó la declaración Santa Barbara Statement on Collections-as-data (2017) se ha producido un crecimiento en la participación en colecciones usadas como fuentes de datos internacionalmente. Las instituciones, tanto grandes como pequeñas, o de forma individual o colectiva, han invertido en el desarrollo, la facilitación de acceso y el respaldo del uso computacional responsable de colecciones usadas como fuentes de datos. Por ello, es necesaria una declaración actualizada a la luz de una mayor implementación comunitaria de colecciones usadas como fuentes de datos en el contexto de un entorno de datos cada vez más complejo. La declaración Vancouver Statement sugiere un grupo de principios para cavilar las cuestiones que el trabajo de Collections-as-data genera, como parte de un esfuerzo de expansión global, interprofesional e interdisciplinar para empoderar la memoria, el conocimiento y a los responsables de la gobernanza de los datos (facultativos y académicos), cuyo objetivo es dar soporte al desarrollo responsable y el uso computacional de colecciones usadas como fuentes de datos. Este rol de responsabilidad de gobernanza solo crece en importancia a medida que las aplicaciones de inteligencia artificial, entrenadas con enormes cantidades de datos, (incluidas las colecciones usadas como fuentes de datos) impactan en nuestras vidas cada vez de forma más penetrante. The Vancouver Statement is the product of diverse contributions from the participants of the working event, Collections as Data: State of the Field and Future Directions, held April 25-26, 2023 at Internet Archive Canada in addition to asynchronous community feedback. Professional translation of the Vancouver Statement was provided by Transolution. Special thanks go to Gimena del Rio Riande and Gaëlle Béquet for additional review of statement translations.

Related Organizations
Keywords

machine learning, collections as data, libraries, artificial intelligence, museums, archives

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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