Difference between revisions of "Template:Article of the week"

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'''"[[Journal:Making data and workflows findable for machines|Making data and workflows findable for machines]]"'''
'''"[[Journal:Kadi4Mat: A research data infrastructure for materials science|Kadi4Mat: A research data infrastructure for materials science]]"'''


[[Research]] data currently face a huge increase of data objects, with an increasing variety of types (data types, formats) and variety of [[workflow]]s by which objects need to be managed across their lifecycle by data infrastructures. Researchers desire to shorten the workflows from data generation to [[Data analysis|analysis]] and publication, and the full workflow needs to become transparent to multiple stakeholders, including research administrators and funders. This poses challenges for research infrastructures and user-oriented data services in terms of not only making data and workflows findable, accessible, interoperable, and reusable ([[Journal:The FAIR Guiding Principles for scientific data management and stewardship|FAIR]]), but also doing so in a way that leverages machine support for better efficiency. One primary need yet to be addressed is that of findability, and achieving better findability has benefits for other aspects of data and workflow management. In this article, we describe how machine capabilities can be extended to make workflows more findable, in particular by leveraging the Digital Object Architecture, common object operations, and [[machine learning]] techniques. ('''[[Journal:Making data and workflows findable for machines|Full article...]]''')<br />
The concepts and current developments of a research data infrastructure for [[Materials informatics|materials science]] are presented, extending and combining the features of an [[electronic laboratory notebook]] (ELN) and a repository. The objective of this infrastructure is to incorporate the possibility of structured data storage and data exchange with documented and reproducible [[data analysis]] and [[Data visualization|visualization]], which finally leads to the publication of the data. This way, researchers can be supported throughout the entire research process. The software is being developed as a web-based and desktop-based system, offering both a graphical user interface (GUI) and a programmatic interface. The focus of the development is on the integration of technologies and systems based on both established as well as new concepts. Due to the heterogeneous nature of materials science data, the current features are kept mostly generic, and the structuring of the data is largely left to the users. As a result, an extension of the research data infrastructure to other disciplines is possible in the future. The source code of the project is publicly available under a permissive Apache 2.0 license. ('''[[Journal:Kadi4Mat: A research data infrastructure for materials science|Full article...]]''')<br />
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Revision as of 17:30, 20 December 2021

Fig1 Brandt DataSciJourn21 20-1.png

"Kadi4Mat: A research data infrastructure for materials science"

The concepts and current developments of a research data infrastructure for materials science are presented, extending and combining the features of an electronic laboratory notebook (ELN) and a repository. The objective of this infrastructure is to incorporate the possibility of structured data storage and data exchange with documented and reproducible data analysis and visualization, which finally leads to the publication of the data. This way, researchers can be supported throughout the entire research process. The software is being developed as a web-based and desktop-based system, offering both a graphical user interface (GUI) and a programmatic interface. The focus of the development is on the integration of technologies and systems based on both established as well as new concepts. Due to the heterogeneous nature of materials science data, the current features are kept mostly generic, and the structuring of the data is largely left to the users. As a result, an extension of the research data infrastructure to other disciplines is possible in the future. The source code of the project is publicly available under a permissive Apache 2.0 license. (Full article...)

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