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

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(Updated article of the week text)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Krupitzer Foods21 10-11.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Schröder JofBioSem22 13.png|240px]]</div>
'''"[[Journal:Food informatics: Review of the current state-of-the-art, revised definition, and classification into the research landscape|Food informatics: Review of the current state-of-the-art, revised definition, and classification into the research landscape]]"'''
'''"[[Journal:Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation|Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation]]"'''


The increasing population of humans and their changing food consumption behavior, as well as the recent developments in the awareness for food sustainability, lead to new challenges for the production of food. Advances in the [[internet of things]] (IoT) and [[artificial intelligence]] (AI) technology, including [[machine learning]] and [[Data analysis|data analytics]], might help to account for these challenges. Several research perspectives—among them precision agriculture, industrial IoT, internet of food, and smart health—already provide new opportunities through digitalization. In this paper, we review the current state-of-the-art of the mentioned concepts. An additional concept to address is food informatics, which so far is mostly recognized as a mainly data-driven approach to support the production of food. In this review paper, we propose and discuss a new perspective for the concept of food informatics as a supportive discipline ... ('''[[Journal:Food informatics: Review of the current state-of-the-art, revised definition, and classification into the research landscape|Full article...]]''')<br />
[[Electronic laboratory notebook]]s (ELNs) are used to document experiments and investigations in the wet [[Laboratory|lab]]. Protocols in ELNs contain a detailed description of the conducted steps, including the necessary [[information]] to understand the procedure and the raised research data, as well as to reproduce the research investigation. The purpose of this study is to investigate whether such ELN protocols can be used to create [[wikipedia:Semantics|semantic]] documentation of the provenance of research data by the use of [[Ontology (information science)|ontologies]] and linked data methodologies. Based on an ELN protocol of a biomedical wet lab experiment, a retrospective [[wikipedia:Provenance#Data provenance|provenance model]] of the raised research data describing the details of the experiment in a machine-interpretable way is manually engineered. Furthermore, an automated approach for knowledge acquisition from ELN protocols is derived from these results. This structure-based approach exploits the structure in the experiment’s description—such as headings, tables, and links—to translate the ELN protocol into a semantic knowledge representation ... ('''[[Journal:Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation|Full article...]]''')<br />
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''Recently featured'':
''Recently featured'':
{{flowlist |
{{flowlist |
* [[Journal:Food informatics: Review of the current state-of-the-art, revised definition, and classification into the research landscape|Food informatics: Review of the current state-of-the-art, revised definition, and classification into the research landscape]]
* [[Journal:Creating learning health systems and the emerging role of biomedical informatics|Creating learning health systems and the emerging role of biomedical informatics]]
* [[Journal:Creating learning health systems and the emerging role of biomedical informatics|Creating learning health systems and the emerging role of biomedical informatics]]
* [[LII:Planning for Disruptions in Laboratory Operations|Planning for Disruptions in Laboratory Operations]]
* [[LII:Planning for Disruptions in Laboratory Operations|Planning for Disruptions in Laboratory Operations]]
* [[Journal:The current state of knowledge on imaging informatics: A survey among Spanish radiologists|The current state of knowledge on imaging informatics: A survey among Spanish radiologists]]
}}
}}

Revision as of 15:23, 31 October 2022

Fig3 Schröder JofBioSem22 13.png

"Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation"

Electronic laboratory notebooks (ELNs) are used to document experiments and investigations in the wet lab. Protocols in ELNs contain a detailed description of the conducted steps, including the necessary information to understand the procedure and the raised research data, as well as to reproduce the research investigation. The purpose of this study is to investigate whether such ELN protocols can be used to create semantic documentation of the provenance of research data by the use of ontologies and linked data methodologies. Based on an ELN protocol of a biomedical wet lab experiment, a retrospective provenance model of the raised research data describing the details of the experiment in a machine-interpretable way is manually engineered. Furthermore, an automated approach for knowledge acquisition from ELN protocols is derived from these results. This structure-based approach exploits the structure in the experiment’s description—such as headings, tables, and links—to translate the ELN protocol into a semantic knowledge representation ... (Full article...)

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