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Artículos de revistas sobre el tema "Metadata"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 15 de junio de 2025

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1

Blumesberger, Susanne, Bernhard Schubert, and Alexander Zartl. "Schwerpunktthema „Metadata – Metadaten“." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 70, no. 2 (2017): 153–56. http://dx.doi.org/10.31263/voebm.v70i2.1851.

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2

Mincewicz, Wojciech. "Metadane – cichy zabójca prywatności." Studia Politologiczne 2019, no. 54 (2019): 230–57. http://dx.doi.org/10.33896/spolit.2019.54.9.

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The article has a deeper reflection on the issue of metadata, that is, data which are defined or describe other data. The theoretical layer extracted three types of metadata: descriptive, structural, and administrative. Descriptive metadata is used to find and identify key information that allows the location of an object. Structured metadata describes the internal structure of the object, but administrative metadata refers to the technical information, where information is provided for example about the time and how the file was created. The purpose of the publication is to provide theoretical knowledge as well as practical. The second part of the article depicts the concepts of graphic and text files, and simple self-defense techniques are indicated, which allow you to remove metadata before sharing the file. The supplementing of article is: analysis the ability to extract meta information by Fingerprinting Organizations with Collected Archives (FOCA), which is used to mechanizedly extract metadata reflection on what the metadata includes the email header.

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3

Hanlon, Ann, and Mehmet Emin Küçük. "Metadata Kavramına Kısa Bir Giriş." Bilgi Dünyası 2, no. 2 (2001): 206–17. http://dx.doi.org/10.15612/bd.2001.472.

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Metadata terimi kütüphanecilik alanında sürekli karşımıza çıkan terimlerden bir haline gelmiştir. Konuyla ilgili bu kısa giriş, metada tanın ne olduğu ve ne tür yeni gelişmeler getirdiğine ilişkin kısa bir tanıtımı hedeflemektedir. Bu makale ayrıca metadata hakkında bazı temel soruları ortaya koymaktadır: Hangi nitelikleri metadatayı World Wide Web üzerinde elektronik kaynakların tek biçim kaynak keşfinde bir araç yapmaktadır? Ve MARC gibi daha geleneksel kataloglama araçlarımızdan nasıl bir farklılık göstermektedir? Son olarak, metadata hakkında daha ayrıntılı bilgi içeren açıklamalı bir kısa bibliyografya sunulmaktadır.

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4

Greenberg, Jane. "Understanding Metadata and Metadata Schemes." Cataloging & Classification Quarterly 40, no. 3-4 (2005): 17–36. http://dx.doi.org/10.1300/j104v40n03_02.

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5

Habermann, Ted. "Metadata 2020 Metadata Evaluation Projects." Research Ideas and Outcomes 6 (June 17, 2020): e54176. https://doi.org/10.3897/rio.6.e54176.

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Metadata 2020: a cross-community collaboration that advocates richer, connected, reusable, and open metadata for all research outputs to advance scholarly pursuits for the benefit of society. A group of volunteers working together trying to encourage and facilitate progress towards this challenging goal. Management guru Peter Druker famously said "If you can't measure it, you can't improve it". With that in mind, several Metadata 2020 projects examined approaches to metadata evaluation and connections between evaluation and guidance. Accomplishing this progress across the broad expanse of the Metadata 2020 landscape requires connecting metadata dialects and community recommendations and analysis of multiple metadata corpora. This paper describes one framework for approaching that task and some potential examples.

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6

Campoverde Molina, Milton, Jenny Vizñay Durán, and Silvia Vintimilla Jara. "Análisis de esquemas de metadatos para catalogación de tesis y proyectos de investigación." Revista Científica y Tecnológica UPSE 5, no. 1 (2018): 1–8. http://dx.doi.org/10.26423/rctu.v5i1.209.

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Este artículo revela el análisis comparativo de los esquemas de metadatos MARC21, MODS, DUBLIN CORE y OPAC en la catalogación y publicación de tesis y proyectos de investigación en el repositorio DSpace. Inicia con la elaboración y aplicación de una encuesta a los administradores bibliotecarios de las instituciones: Universidad de Cuenca, Universidad del Azuay, Universidad Católica de Cuenca, Universidad Politécnica Salesiana y la Biblioteca Municipal de la ciudad de Cuenca, con el fin de determinar el esquema de metadatos empleado en la catalogación de tesis y proyectos de investigación. Luego se realiza la instalación de una Máquina Virtual bajo el sistema operativo Ubuntu, utilizando la herramienta tasksel se instalan los requisitos previos a la instalación de DSpace, configuración del repositorio DSpace y publicación de los contenidos de tesis y proyectos de investigación dentro del repositorio. Se concluye que el metadato que predomina dentro de los repositorios DSpace es el Dublin Core y es el que mejor se adecua para la catalogación de tesis y proyectos de investigación, en las pruebas con estudiantes y profesores en los tres aspectos: técnico, de uso y funcional. El esquema de metadato Dublin Core en el repositorio DSpace es calificado como excelente, presentando un nivel medio de complejidad en el registro de documentos. ABSTRACT This article reveals the comparative analysis of metadata schemas MARC21, MODS, DUBLIN CORE and OPAC in cataloging and publication of thesis and research projects in the DSpace repository. It begins with the development and implementation of a survey to library administrators of the following institutions: University of Cuenca, Azuay University, Catholic University of Cuenca, Salesian University and the Municipal Library of the city of Cuenca, in order to determine the schema metadata used in cataloging thesis and research projects. Then a virtual Machine was installed under the Ubuntu operating system. By using the tasksel tool the prerequisites are installed previous to the installation of DSpace, DSpace repository configuration and publication of the contents of thesis and research projects within the repository. It is concluded that the metadata that prevails within the DSpace repositories is the Dublin Core and it is the one best fits for cataloging thesis and research projects, in tests with students and teachers in the three aspects: technical, use and functional. The Dublin Core metadata schema in the repository DSpace is rated as excellent, having an average level of complexity in registration documents.

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7

Greenberg, Jane. "Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata." Journal of Data and Information Science 2, no. 3 (2017): 19–36. http://dx.doi.org/10.1515/jdis-2017-0012.

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AbstractPurposeThe purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research. This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science.Design/methodology/approachThis paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science.FindingsThe “utilitarian nature” and “historical and traditional views” of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part of a metadata lingua franca to help frame research in the data science research space.Research limitationsThere are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore.Practical implicationsThe immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem.Originality/valueAlthough metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.

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8

Chuc Arcia, Alejandro, and Víctor Hugo Menéndez Domínguez. "Desarrollo de un recomendador de metadatos para un repositorio utilizando técnicas de extracción de conocimiento." Tecnología Educativa Revista CONAIC 8, no. 2 (2021): 45–50. http://dx.doi.org/10.32671/terc.v8i2.209.

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Los repositorios digitales de producción científica son espacios que conservan la información de las diversas publicaciones almacenadas donde los metadatos juegan un papel fundamental para el cumplimiento de dicho propósito. Al describir a los recursos en términos de su contenido, utilización, características técnicas, etc., permiten su catalogación y, por ende, facilitan su localización, su recuperación y su uso. Sin embargo, los metadatos suelen adolecer de integridad, completitud, exactitud y consistencia. En este trabajo se propone desarrollar un asistente que facilite la generación de metadatos para los recursos almacenados en el repositorio DSpace utilizando técnicas de extracción de conocimiento. Se espera que las técnicas de extracción de conocimiento puedan facilitar y mejorar la generación de metadatos para trabajos de titulación almacenados en el repositorio DSpace, beneficiando especialmente a los usuarios no especializados en esta área. Otro resultado será una API basada en el modelo arquitectónico que facilite la generación automática de metadatos para los documentos almacenados en DSpace. The digital repositories of scientific production are spaces that preserve the information of the various stored publications where metadata play a fundamental role for the fulfillment of said purpose. By describing resources in terms of their content, use, technical characteristics, etc., they allow their cataloging and, therefore, facilitate their location, retrieval and use. However, metadata often suffers from completeness, completeness, accuracy, and consistency. In this work it is proposed to develop a wizard that facilitates the generation of metadata for the resources stored in the DSpace repository using knowledge extraction techniques. It is expected that knowledge extraction techniques can facilitate and improve the generation of metadata for titling works stored in the DSpace repository, especially benefiting users not specialized in this area. Another result will be an API based on the architectural model that facilitates the automatic generation of metadata for documents stored in DSpace.

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9

Bagchi, Mayukh. "Toward Generative AI–Driven Metadata Modeling: A Human–Large Language Model Collaborative Approach." Library Trends 73, no. 3 (2025): 297–322. https://doi.org/10.1353/lib.2025.a961196.

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Abstract: For decades, the modeling of metadata has been core to the functioning of any academic library. Metadata’s importance has only increased with the pervasiveness of generative artificial intelligence–driven information activities and services. However, several challenges impact a library metadata model’s reusability, crosswalk, and interoperability with other metadata models. This paper posits that these problems stem from an underlying assumption that there should be only a few core metadata models that would be sufficient for any information service using them, irrespective of the heterogeneity of intradomain or interdomain settings. To that end, this paper advances a contrary view and substantiates its argument in three key steps. First, the paper introduces a novel way of thinking about a library metadata model as an ontology-driven composition of five functionally interlinked representation levels from perception to definition via properties. Second, the paper introduces the representational manifoldness implicit in each of the five levels, which cumulatively contributes to a conceptually entangled library metadata model. Finally, and most importantly, the paper proposes a generative AI–driven, human–large language model collaboration-based metadata modeling approach to disentangle the entanglement inherent in each representation level, which would lead to a conceptually disentangled metadata model. Throughout the paper, the author provides motivating scenarios and examples from libraries handling cancer information.

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10

Silva, Victória De Abreu e., and Márcio Bezerra da Silva. "Metadados para preservação digital de dados abertos: um estudo de identificação." Biblios: Journal of Librarianship and Information Science, no. 78 (August 17, 2021): 44–60. http://dx.doi.org/10.5195/biblios.2020.793.

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Objetivo. Investigación que pretende identificar los estándares de metadatos útiles para la preservación digital y la disponibilidad de los datos abiertos según la literatura actual.Método. Se caracteriza por ser una investigación exploratoria, en la identificación de estándares de metadatos, y bibliográfica, por la base literaria necesaria sobre la representación descriptiva de la información, la preservación digital y los metadatos, con el fin de tratar, preservar y hacer disponibles digitalmente los datos abiertos, desde el enfoque cualitativo de la recogida de datos.Resultados. Resultados, basados en la investigación literaria, en el elenco de entornos como sitios gubernamentales, Institutos de Investigación, repositorios digitales, catálogos electrónicos y bibliotecas digitales que adoptan estándares de metadatos utilizables para la preservación y disponibilidad de datos abiertos, siendo, específicamente, los esquemas: Dublin Core, utilizado en entornos como el Portal de Datos Abiertos de Brasil; Preservation Metadata Implementation Strategies, presente en repositorios como el Repositorio Digital de Carolina; Metadata Object Description Schema, adoptado por sistemas como el Copac: Catálogo de Bibliotecas de Investigación del Reino Unido e Irlanda; y Metadata Encoding and Transmission Standard, al que se accede para gestionar objetos digitales en bibliotecas y repositorios como la Biblioteca NacionalBiblioteca Digital de Portugal.Conclusiones. Se llegó a la conclusión de que la única norma de metadatos pensada específicamente en la preservación digital, y que se considera como la recomendada para la salvaguarda digital y la puesta a disposición de datos abiertos, es la Preservation Metadata Implementation, La única norma de metadatos diseñada específicamente para la preservación digital y que, si se considera recomendable para la preservación digital y la disponibilidad de datos abiertos, es la Preservation Metadata Implementation, basada en campos como los derechos, los agentes y los eventos. otros fines, también permiten la conservación de los datos, como es el caso de Dublin Core, en el uso de elementos fuente, relación, [...] y la Norma de Transmisión, adoptando los componentes de la sección de enlace estructural y de la sección de comportamiento.

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11

Mayernik, Matthew S. "Metadata." KNOWLEDGE ORGANIZATION 47, no. 8 (2020): 696–713. http://dx.doi.org/10.5771/0943-7444-2020-8-696.

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Metadata in various forms pervades our institutions, technologies, and daily lives. Metadata is a distinct focus of academic research and professional practice for many people within the library and information sciences (LIS). This article is an exploration of the concept of “metadata.” It presents a high-level introduction to the topic with analysis of key research problems and practical challenges. The paper discusses varying understandings of what “metadata” means, the origin and evolution of metadata as an important topic within information and data fields, and the central characteristics of that which gets called “metadata.” Metadata can be understood as both process and product and can result from both human effort and computational techniques. Given the central role metadata have in the establishment of knowledge, evidence, and truth, it is necessary for researchers and professionals within LIS to think critically about our metadata practices and systems.

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12

Appleman, Anna. "Metadata." Theology Cataloging Bulletin 28, no. 3 (2020): 15. http://dx.doi.org/10.31046/tcb.v28i3.1835.

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Appleman, Anna. "Metadata." Theology Cataloging Bulletin 27, no. 2 (2019): 17. http://dx.doi.org/10.31046/tcb.v27i2.713.

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Appleman, Anna. "Metadata." Theology Cataloging Bulletin 27, no. 2 (2019): 17. http://dx.doi.org/10.31046/tcbv27no2_713.

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15

Appleman, Anna. "Metadata." TCB:Technical Services in Religion & Theology 29, no. 4 (2021): 34. http://dx.doi.org/10.31046/tcb.v29i4.3015.

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16

Uchimi, Akihiro. "Metadata." Journal of The Institute of Image Information and Television Engineers 60, no. 9 (2006): 1393–95. http://dx.doi.org/10.3169/itej.60.1393.

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17

Hammer, K. "Metadata." Computer Bulletin 41, no. 6 (1999): 32. http://dx.doi.org/10.1093/combul/41.6.32.

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18

Haynes, David. "Metadata." Alexandria: The Journal of National and International Library and Information Issues 27, no. 3 (2017): 198–206. http://dx.doi.org/10.1177/0955749018778984.

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The use and management of metadata raises many ethical and eventually political issues. The security revelations by Edward Snowden in 2014 demonstrate the key role that metadata plays in surveillance. Privacy has become a particularly hot topic in recent months and much of the debate has centred on the misuse of metadata from social media and the potentially invasive effect this has on individuals. Metadata also has a key role in delivering reliable sources of information, although this has to go hand in hand with user education and improved information literacy. Access to information is a fundamental right and the appropriate use of metadata can help improve access to health, agriculture and education as well as contributing to economic development. Metadata is a route to good governance, but it must also be handled appropriately to maintain information privacy, a fundamental human right.

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Lange, Holley R. "METADATA." Technical Services Quarterly 27, no. 1 (2010): 139–41. http://dx.doi.org/10.1080/07317130903256061.

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20

Nauta, Laura. "Metadata." Journal of Academic Librarianship 35, no. 1 (2009): 103. http://dx.doi.org/10.1016/j.acalib.2008.10.014.

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21

Schutte, Marietjie. "Metadata." Library Hi Tech 27, no. 3 (2009): 486–87. http://dx.doi.org/10.1108/07378830910988649.

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22

Reyes, Vanessa. "Metadata." Journal of Education for Library and Information Science 65, no. 2 (2024): 234–35. http://dx.doi.org/10.3138/jelis-2022-0082.

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23

Cerveira, Elisa. "Metadata." Prisma.com 48 (2022): 76–78. http://dx.doi.org/10.21747/16463153/48r1.

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24

Posch, Lisa, Maryam Panahiazar, Michel Dumontier, and Olivier Gevaert. "Predicting structured metadata from unstructured metadata." Database 2016 (2016): baw080. http://dx.doi.org/10.1093/database/baw080.

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Posch, Lisa, Maryam Panahiazar, Michel Dumontier, and Olivier Gevaert. "Predicting structured metadata from unstructured metadata." Database 2016 (2016): baw097. http://dx.doi.org/10.1093/database/baw097.

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26

Leach-Murray, Susan. "Open Metadata Registry–Supporting Metadata Interoperability." Technical Services Quarterly 37, no. 4 (2020): 465–66. http://dx.doi.org/10.1080/07317131.2020.1810866.

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Li, Jian-hui, Jia-xin Gao, Ji-nong Dong, Wei Wu, and Yan-fei Hou. "A Metadata Registry for Metadata Interoperability." Data Science Journal 6 (2007): S379—S384. http://dx.doi.org/10.2481/dsj.6.s379.

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28

Malon, D., S. Albrand, E. Gallas, and G. Stewart. "A programmatic view of metadata, metadata services, and metadata flow in ATLAS." Journal of Physics: Conference Series 396, no. 5 (2012): 052052. http://dx.doi.org/10.1088/1742-6596/396/5/052052.

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29

Srujana, Manigonda. "The Role Of Metadata Management In Data Governance: Enhancing Visibility And Control Across Complex Pipelines." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 1 (2021): 1–7. https://doi.org/10.5281/zenodo.14280162.

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In the era of data-driven decision-making, metadata management has become a cornerstone of effective data governance. It provides the structure and context needed to manage, track, and utilize vast volumes of data across complex organizational pipelines. This paper explores the role of metadata management in enhancing visibility, ensuring data quality, and maintaining control in data ecosystems. It highlights how metadata enables organizations to achieve regulatory compliance, improve operational efficiency, and foster collaboration between teams. By examining case studies and industry applications, this study underscores metadata's transformative impact on modern data governance practices, ensuring that organizations remain agile and accountable in a rapidly evolving digital landscape.

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Oktavia, Tanty, and Eric Wijaya. "Strategic Metadata Implementation: A Catalyst for Enhanced BI Systems and Organizational Effectiveness." HighTech and Innovation Journal 6, no. 1 (2025): 21–41. https://doi.org/10.28991/hij-2025-06-01-02.

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In today's data-driven business landscape, robust metadata and data documentation practices are essential for enterprises aiming to maximize their data assets. When integrated with Business Intelligence (BI) systems, this architecture empowers data democratization, allowing widespread utilization by stakeholders across the organization. This research explores the critical role of metadata in shaping Business Intelligence (BI) systems and organizational effectiveness within today's data-driven business landscape. Through a systematic literature review, a preliminary study, a quantitative survey with 318 responses, and a focus group discussion, the study identifies key metadata components influencing BI systems effectiveness and organizational outcomes. Findings indicate a direct and positive impact of BI systems effectiveness on organizational effectiveness. Certain metadata components exhibit direct positive effects on both BI systems and organizational effectiveness. The research underscores the importance of strategic metadata implementation for enterprises seeking to optimize data-driven decision-making processes. Overall, the study provides practical implications for organizations and contributes valuable insights to the understanding of metadata's role in enhancing enterprise effectiveness. Doi: 10.28991/HIJ-2025-06-01-02 Full Text: PDF

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Waugh, Andrew. "Specifying metadata standards for metadata tool configuration." Computer Networks and ISDN Systems 30, no. 1-7 (1998): 23–32. http://dx.doi.org/10.1016/s0169-7552(98)00102-0.

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Watson, B. M., Devon Murphy, Beck Schaefer, and Jackson Huang. "“Our Metadata, Ourselves”: The Trans Metadata Collective." Proceedings of the Association for Information Science and Technology 60, no. 1 (2023): 433–41. http://dx.doi.org/10.1002/pra2.801.

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ABSTRACTThis paper presents the history, internal processes, and finalized report of the Trans Metadata Collective (TMDC), founded to address the lack of attention paid to trans and gender diverse issues in galleries, archives, libraries, museums, and special collections (GLAMS). The TMDC, an ad‐hoc group of nearly a hundred information professionals, developed best practices for the description and classification of trans and gender diverse information resources. These guidelines prioritize transparency, cultural sensitivity, correct identification, explicit descriptions of transphobia, and regular assessment of trans‐related content. It examines the effects of commonly used standards and controlled vocabularies such as Resource Description and Access (RDA) and Library of Congress Subject Headings (LCSH) on trans and gender diverse people and critiques the inadequacy of these standards' representation of those communities. The TMDC provides guidance for using existing LCSHs, recommends alternative subject vocabularies, and proposes revisions to improve representation. The paper advocates individual agency in naming and gender identification, with recommendations on contacting creators and documenting their preferences. The TMDC emphasizes the importance of minimizing potential harm and protecting privacy in metadata creation. Overall, the report aims to enhance the representation and inclusion of trans and gender diverse communities in GLAMS institutions.

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Pasqui, Valdo. "look at metatada processing beyond Libraries." JLIS.it 13, no. 3 (2022): 29–48. http://dx.doi.org/10.36253/jlis.it-492.

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Since many years libraries, archives and museums, the institutions entrusted with the dissemination and conservation of cultural heritage, contributed to metada standards definition, meta-dating methodologies and metadata representation in different syntaxes, by partecipating to national projects and international initiatives.Management systems and catalogs used in these contexts borrow from information and telecommunication technology tools, metodoligies and techniques to generate, organize, share and use various types of metadata. But the Information and Communication Technology (ICT) area is not only a supplier of technological tools and solutions as it also constitutes a rich basin in which metadata plays a fundamental role in designing architectures, modeling information systems and implementing services.Through an overview that includes national and European initiatives, especially in the digital transformation process of the public sector, this paper aims to offer a look to metadata beyond the traditional boundary of libraries and other cultural institutions and to underline some relevant aspects such as standardization, sharing, reuse and metadata quality assessment.This framework highlights the need to carry on with the path of cooperation between different functional domains and organizational contexts in order to consolidate and extend the (re)use of metadata schemes, ontologies and controlled vocabularies both in the redesign of digitized processes and in the implementation of services supporting them. By undertaking since design early stages a multidisciplinary approach based on metadata standards can ensure greater flexibility and higher interoperability. This vision requires the enhancement of intersectorial skills that meld metadata methodologies and syntaxes representation basic knowledge with the ability to model functional domains using metadata schemes and ontologies.

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34

Engelson, Leslie. "Metadata Management." Theology Cataloging Bulletin 28, no. 2 (2020): 25–27. http://dx.doi.org/10.31046/tcb.v28i2.1766.

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35

Wisser, Katherine M., and Jennifer O’Brien Roper. "Maximizing Metadata." Library Resources & Technical Services 47, no. 2 (2003): 71–76. http://dx.doi.org/10.5860/lrts.47n2.71.

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Ilik, Violeta, Jessica Storlien, and Joseph Olivarez. "Metadata Makeover." Library Resources & Technical Services 58, no. 3 (2014): 187. http://dx.doi.org/10.5860/lrts.58n3.187.

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Catalogers have become fluent in information technology such as web design skills, HyperText Markup Language (HTML), Cascading Stylesheets (CSS), eXensible Markup Language (XML), and programming languages. The knowledge gained from learning information technology can be used to experiment with methods of transforming one metadata schema into another using various software solutions. This paper will discuss the use of eXtensible Stylesheet Language Transformations (XSLT) for repurposing, editing, and reformatting metadata. Catalogers have the requisite skills for working with any metadata schema, and if they are excluded from metadata work, libraries are wasting a valuable human resource.

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Engelson, Leslie. "Metadata Management." Theology Cataloging Bulletin 28, no. 2 (2020): 25–27. http://dx.doi.org/10.31046/tcbv28no2_1766.

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38

Buurma, Rachel Sagner, and Jon Shaw. "Slow Metadata." PMLA/Publications of the Modern Language Association of America 135, no. 1 (2020): 188–94. http://dx.doi.org/10.1632/pmla.2020.135.1.188.

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The Bibliographic Records in Libraries' Searchable Online Public Access Catalogs (Opac) Have Recently Taken on a New Role as a source of bibliographic data that can be aggregated, shared, circulated, manipulated, transformed, studied, and interpreted. Scholars' new awareness of library catalogs not just as aids to locating books and other materials but as sources of bibliographic information that researchers can manipulate and transform has inspired new scholarship on the history of the catalog and a new focus on how the catalog, in both its analog and digital forms, shapes bibliographic knowledge. Our Early Novels Dataset (END) project, for example, uses methods from book history, library science, and literary studies to think about the shape and history of the bibliographic metadata in the library catalog. Our research group's collective experiments with bibliographic metadata ask what happens when we look at the library catalog record not just as a utilitarian aid for searching or as an object of critique, but also as a work in progress with a literary character of its own. We ask what we can learn from the shape given to bibliographic information by the earlier catalogers whose records our project inherited and on whose expertise we draw. We also ask how the familiar languages of the library catalog record and the controlled bibliographic description might help make new forms of knowledge about books. And we press on the inevitable and generative tension between the particular perspective of the library catalogers who transform specific copies of physical books into bibliographic data and the informational fields dictated by machine-readable cataloging (MARC) descriptive standards.

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Küçük, Mehmet Emin, and Umut Al. "Metadata Kavramı." Bilgi Dünyası 2, no. 2 (2001): 169–87. http://dx.doi.org/10.15612/bd.2001.470.

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İnternet kullanıcılarına iletişimde hız ve kolaylıklar sunmakla birlikte bilgi erişim açısından bir dizi sorunu da beraberinde getirmiştir. Bu sorunları çevrim içi ortamda yer alan belgelerin tamamının kapsanması, dizinlenmesi, seçimi, erişimi ve bu karmaşık çevrim içi ortamda farkedilebilmek olarak özetlemek olanaklıdır. Çalışmamızda İnternet bilgi kaynaklarının düzenlenmesi ve erişim sorunlarına çözüm olarak ortaya çıkan metadata kavramı açıklanarak, metadata oluşturma araçları ve metadata standartlarından bazıları tanıtılmıştır.

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40

Edara, Pavan, and Mosha Pasumansky. "Big metadata." Proceedings of the VLDB Endowment 14, no. 12 (2021): 3083–95. http://dx.doi.org/10.14778/3476311.3476385.

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The rapid emergence of cloud data warehouses like Google BigQuery has redefined the landscape of data analytics. With the growth of data volumes, such systems need to scale to hundreds of EiB of data in the near future. This growth is accompanied by an increase in the number of objects stored and the amount of metadata such systems must manage. Traditionally, Big Data systems have tried to reduce the amount of metadata in order to scale the system, often compromising query performance. In Google BigQuery, we built a metadata management system that demonstrates that massive scale can be achieved without such tradeoffs. We recognized the benefits that fine grained metadata provides for query processing and we built a metadata system to manage it effectively. We use the same distributed query processing and data management techniques that we use for managing data to handle Big metadata. Today, BigQuery uses these techniques to support queries over billions of objects and their metadata.

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41

Darius, P., M. Boucneau, P. de Greef, E. de Feber, and K. Froeschl. "Modelling metadata." Statistical Journal of the United Nations Economic Commission for Europe 10, no. 2 (1993): 171–79. http://dx.doi.org/10.3233/sju-1993-10208.

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42

Fowler, M. "Using metadata." IEEE Software 19, no. 6 (2002): 13–17. http://dx.doi.org/10.1109/ms.2002.1049381.

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43

Mark and Roussopoulos. "Metadata Management." Computer 19, no. 12 (1986): 26–36. http://dx.doi.org/10.1109/mc.1986.1663125.

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44

Graham, Rebecca A. "Metadata harvesting." Library Hi Tech 19, no. 3 (2001): 290–95. http://dx.doi.org/10.1108/eum0000000005891.

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45

Madhwacharyula, Chitra L., Marc Davis, Philippe Mulhem, and Mohan S. Kankanhalli. "Metadata handling." ACM Transactions on Multimedia Computing, Communications, and Applications 2, no. 4 (2006): 358–88. http://dx.doi.org/10.1145/1201730.1201736.

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46

Weibel, Stuart, Jane Greenberg, Robin Wendler, and Debbie Malone. "Metadata Preconference." Serials Librarian 38, no. 1-2 (2000): 5–14. http://dx.doi.org/10.1300/j123v38n01_02.

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47

Gorman, Michael. "Metadata Dreaming." Serials Librarian 51, no. 2 (2006): 47–54. http://dx.doi.org/10.1300/j123v51n02_04.

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48

Robson, Robby. "Pedagogic Metadata." Interactive Learning Environments 9, no. 3 (2001): 207–18. http://dx.doi.org/10.1076/ilee.9.3.207.3574.

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49

Schneier, Bruce. "Metadata = Surveillance." IEEE Security & Privacy 12, no. 2 (2014): 84. http://dx.doi.org/10.1109/msp.2014.28.

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50

Smiraglia, Richard P. "Introducing Metadata." Cataloging & Classification Quarterly 40, no. 3-4 (2005): 1–15. http://dx.doi.org/10.1300/j104v40n03_01.

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