Výsledky vyhledávání - "data publication"

Akademický článek

Shuffled differential privacy protection method for K-Modes clustering data collection and publication

Autor: Weijin JIANG, Yilin CHEN, Yuqing HAN, Yuting WU, Wei ZHOU, Haijuan WANG

Publikováno v: Tongxin xuebao, Vol 45, Pp 201-213 (2024)

Aiming at the current problem of insufficient security in clustering data collection and publication, in order to protect user privacy and improve data quality in clustering data, a privacy protection method for K-Modes clustering data collection and

Externí odkaz: https://doaj.org/article/e5d12a62315e48ec867f9422aa644c68

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Akademický článek

A Framework for Transforming the Persian Subject Headings into Linked Data

Autor: Zeynab Sabbaghi Bidgoli, Atefeh Sharif, Fatemeh Zandian

Publikováno v: بازیابی دانش و نظام‌های معنایی, Vol 10, Iss 37, Pp 1-28 (2023)

IntroductionThe emergence of the web facilitated the retrieval of information. This made libraries as one of the most important centers of information considering the web for the information retrieval process. However, the fast change of the web lead

Externí odkaz: https://doaj.org/article/dc31f9e2ed0b410f852e46277840e35f

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Akademický článek

Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done

Autor: C. Annemieke Romein, Tobias Hodel, Femke Gordijn, Joris J. van Zundert, Alix Chagué, Milan van Lange, Helle Strandgaard Jensen, Andy Stauder, Jake Purcell, Melissa M. Terras, Pauline van den Heuvel, Carlijn Keijzer, Achim Rabus, Chantal Sitaram, Aakriti Bhatia, Katrien Depuydt, Mary Aderonke Afolabi-Adeolu, Anastasiia Anikina, Elisa Bastianello, Lukas Vincent Benzinger, Arno Bosse, David Brown, Ash Charlton, André Nilsson Dannevig, Klaas van Gelder, Sabine C.P.J. Go, Marcus J.C. Goh, Silvia Gstrein, Sewa Hasan, Stefan von der Heide, Maximilian Hindermann, Dorothee Huff, Ineke Huysman, Ali Idris, Liesbeth Keijzer, Simon Kemper, Sanne Koenders, Erika Kuijpers, Lisette Rønsig Larsen, Sven Lepa, Tommy O. Link, Annelies van Nispen, Joe Nockels, Laura M. van Noort, Joost Johannes Oosterhuis, Vivien Popken, María Estrella Puertollano, Joosep J. Puusaag, Ahmed Sheta, Lex Stoop, Ebba Strutzenbladh, Nicoline van der Sijs, Jan Paul van der Spek, Barry Benaissa Trouw, Geertrui Van Synghel, Vladimir Vučković, Heleen Wilbrink, Sonia Weiss, David Joseph Wrisley, Riet Zweistra

Publikováno v: Journal of Data Mining and Digital Humanities, Vol Historical Documents and... (2024)

This paper discusses best practices for sharing and reusing Ground Truth in Handwritten Text Recognition infrastructures, as well as ways to reference and acknowledge contributions to the creation and enrichment of data within these systems. We discu

Externí odkaz: https://doaj.org/article/ea84b34fe57049028abec86cfe92322a

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Akademický článek

An exploratory approach to data driven knowledge creation

Autor: Costantino Thanos, Carlo Meghini, Valentina Bartalesi, Gianpaolo Coro

Publikováno v: Journal of Big Data, Vol 10, Iss 1, Pp 1-15 (2023)

Abstract This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed approach enables the acquisition of new insights from the data by exploiting existing relationsh

Externí odkaz: https://doaj.org/article/6874a5db571e4097baaf3a09ea3ba980

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Akademický článek

Local generalization and bucketization technique for personalized privacy preservation

Autor: Boyu Li, Kun He

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 393-404 (2023)

Anonymization technique has been extensively studied and widely applied for privacy-preserving data publishing. In most previous approaches, a microdata table consists of three categories of attributes, namely explicit-identifier, quasi-identifier (Q

Externí odkaz: https://doaj.org/article/fb2fa4c618ee451ea7dfb25656682204

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Akademický článek

Publication of Atmospheric Model Data using the ATMODAT Standard

Autor: Anette Ganske, Angelika Heil, Andrea Lammert, Jan Kretzschmar, Johannes Quaas

Publikováno v: Meteorologische Zeitschrift, Vol 31, Iss 6, Pp 493-504 (2022)

Scientific data should be published in a way so that other scientists can benefit from these data, enabling further research. The FAIR Data Principles are defining the basic prerequisite for a good data publication: data should be Findable, Accessibl

Externí odkaz: https://doaj.org/article/f5e983e392034863be7d8f0af9fab2bc

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Akademický článek

Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications

Autor: Irina Gerasimov, Andrey Savtchenko, Jerome Alfred, James Acker, Jennifer Wei, KC Binita

Publikováno v: Data Science Journal, Vol 23, Pp 1-1 (2024)

Attribution of datasets that were used to generate research results described in peer-reviewed publications to the original source of these datasets (which are often archived at NASA Earth Science data centers) has been very challenging. Even though

Externí odkaz: https://doaj.org/article/3eb39d9be1a440f191a5583ec6625b7c

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Dissertation/ Thesis

A Mixed-Method Study on Barriers to the Publication of Research Data in Learning Analytics

Autor: Biernacka, Katarzyna

Diese Studie untersucht umfassend Barrieren bei der Veröffentlichung von Forschungsdaten im Bereich Learning Analytics (LA) mithilfe eines Mixed-Methods-Ansatzes. Methodologisch gegliedert in vier Phasen – Systematic Literature Review (SLR), Leitf

Externí odkaz: http://edoc.hu-berlin.de/18452/30139

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