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pro vyhledávání: '"Metadata annotation"'
In this paper, we address the challenges of automatic metadata annotation in the domain of Galleries, Libraries, Archives, and Museums (GLAMs) by introducing a novel dataset, EUFCC340K, collected from the Europeana portal. Comprising over 340,000 ima
Externí odkaz:
http://arxiv.org/abs/2406.02380
Autor:
Balakrishnan, Rama, Berg, Ellen L., Butler, Christopher C., Clark, Alex M., Denker, Sheryl P., Feierberg, Isabella, Harris, Jason, Ikeda, Timothy P., Jeschonek, Samantha, Makarov, Vladimir A., Southan, Christopher, Vanderwall, Dana, Winstanley, Peter
Publikováno v:
In SLAS Discovery December 2024 29(8)
Akademický článek
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Autor:
Rama Balakrishnan, Ellen L. Berg, Christopher C. Butler, Alex M. Clark, Sheryl P. Denker, Isabella Feierberg, Jason Harris, Timothy P. Ikeda, Samantha Jeschonek, Vladimir A. Makarov, Christopher Southan, Dana Vanderwall, Peter Winstanley
Publikováno v:
SLAS Discovery, Vol 29, Iss 8, Pp 100188- (2024)
We present a standardized metadata template for assays used in pharmaceutical drug discovery research, according to the FAIR principles. We also describe the use of an automated tool for annotating assays from a variety of sources, including PubChem,
Externí odkaz:
https://doaj.org/article/8b7a8009037942d7bdea6491991dfffb
Akademický článek
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Autor:
Tine Claeys, Tim Van Den Bossche, Yasset Perez-Riverol, Kris Gevaert, Juan Antonio Vizcaíno, Lennart Martens
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-4 (2023)
Abstract Public proteomics data often lack essential metadata, limiting its potential. To address this, we present lesSDRF, a tool to simplify the process of metadata annotation, thereby ensuring that data leave a lasting, impactful legacy well beyon
Externí odkaz:
https://doaj.org/article/1cf4c9ccda994c42a17b648c7fcf428c
Autor:
Kunis, Susanne, Hänsch, Sebastian, Schmidt, Christian, Wong, Frances, Strambio-De-Castillia, Caterina, Weidtkamp-Peters, Stefanie
While the FAIR principles are well accepted in the scientific community, the implementation of appropriate metadata editing and transfer to ensure FAIR research data in practice is significantly lagging behind. On the one hand, it strongly depends on
Externí odkaz:
http://arxiv.org/abs/2103.02942
Autor:
Mingfang Wu, Hans Brandhorst, Maria-Cristina Marinescu, Joaquim More Lopez, Margorie Hlava, Joseph Busch
Publikováno v:
Data Intelligence, Vol 5, Iss 1, Pp 122-138 (2023)
ABSTRACTAutomated metadata annotation is only as good as training dataset, or rules that are available for the domain. It's important to learn what type of data content a pre-trained machine learning algorithm has been trained on to understand its li
Externí odkaz:
https://doaj.org/article/0a1df58e7afa422f9156887df55acff8
Autor:
Wartmann, Hannes1 (AUTHOR), Heins, Sven1 (AUTHOR), Kloiber, Karin1 (AUTHOR), Bonn, Stefan1 (AUTHOR) sbonn@uke.de
Publikováno v:
GigaScience. Sep2021, Vol. 10 Issue 9, p1-13. 13p.
Autor:
Schembera, Björn1 (AUTHOR) schembera@hlrs.de
Publikováno v:
Journal of Supercomputing. Aug2021, Vol. 77 Issue 8, p8946-8966. 21p.