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

From LIMSWiki
Jump to navigationJump to search
(Updated article of the week text)
 
(171 intermediate revisions by the same user not shown)
Line 1: Line 1:
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Evans Informatics2017 4-4.png|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Huang iScience2022 25-8.jpg|240px]]</div>
'''"[[Journal:A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis|A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis]]"'''
'''"[[Journal:Elegancy: Digitizing the wisdom from laboratories to the cloud with free no-code platform|Elegancy: Digitizing the wisdom from laboratories to the cloud with free no-code platform]]"'''


To ensure seamless, programmatic access to data for high-performance computing (HPC) and [[Data analysis|analysis]] across multiple research domains, it is vital to have a methodology for standardization of both data and services. At the Australian National Computational Infrastructure (NCI) we have developed a data quality strategy (DQS) that currently provides processes for: (1) consistency of data structures needed for a high-performance data (HPD) platform; (2) [[quality control]] (QC) through compliance with recognized community standards; (3) benchmarking cases of operational performance tests; and (4) [[quality assurance]] (QA) of data through demonstrated functionality and performance across common platforms, tools, and services. ('''[[Journal:A data quality strategy to enable FAIR, programmatic access across large, diverse data collections for high performance data analysis|Full article...]]''')<br />
One of the top priorities in any [[laboratory]] is [[Archival informatics|archiving]] experimental data in the most secure, efficient, and errorless way. It is especially important to those in chemical and biological research, for it is more likely to damage experiment records. In addition, the transmission of experiment results from paper to electronic devices is time-consuming and redundant. Therefore, we introduce an [[Open-source software|open-source]] no-code [[electronic laboratory notebook]] (ELN), Elegancy, a [[Cloud computing|cloud-based]]/standalone web service distributed as a Docker image. Elegancy fits all laboratories but is specially equipped with several features benefitting biochemical laboratories. It can be accessed via various web browsers, allowing researchers to upload photos or audio recordings directly from their mobile devices. Elegancy also contains a meeting arrangement module, audit/revision control, and laboratory supply management system. We believe Elegancy could help the scientific research community gather evidence, share information, reorganize knowledge, and digitize laboratory works with greater ease and security ... ('''[[Journal:Elegancy: Digitizing the wisdom from laboratories to the cloud with free no-code platform|Full article...]]''')<br />
<br />
<br />
''Recently featured'':
''Recently featured'':
: ▪ [[Journal:How big data, comparative effectiveness research, and rapid-learning health care systems can transform patient care in radiation oncology|How big data, comparative effectiveness research, and rapid-learning health care systems can transform patient care in radiation oncology]]
{{flowlist |
: ▪ [[Journal:Wireless positioning in IoT: A look at current and future trends|Wireless positioning in IoT: A look at current and future trends]]
* [[Journal:Implementing an institution-wide electronic laboratory notebook initiative|Implementing an institution-wide electronic laboratory notebook initiative]]
: ▪ [[Journal:Password compliance for PACS work stations: Implications for emergency-driven medical environments|Password compliance for PACS work stations: Implications for emergency-driven medical environments]]
* [[Journal:Quality and environmental management systems as business tools to enhance ESG performance: A cross-regional empirical study|Quality and environmental management systems as business tools to enhance ESG performance: A cross-regional empirical study]]
* [[Journal:PIKAChU: A Python-based informatics kit for analyzing chemical units|PIKAChU: A Python-based informatics kit for analyzing chemical units]]
}}

Latest revision as of 17:08, 10 April 2023

Fig1 Huang iScience2022 25-8.jpg

"Elegancy: Digitizing the wisdom from laboratories to the cloud with free no-code platform"

One of the top priorities in any laboratory is archiving experimental data in the most secure, efficient, and errorless way. It is especially important to those in chemical and biological research, for it is more likely to damage experiment records. In addition, the transmission of experiment results from paper to electronic devices is time-consuming and redundant. Therefore, we introduce an open-source no-code electronic laboratory notebook (ELN), Elegancy, a cloud-based/standalone web service distributed as a Docker image. Elegancy fits all laboratories but is specially equipped with several features benefitting biochemical laboratories. It can be accessed via various web browsers, allowing researchers to upload photos or audio recordings directly from their mobile devices. Elegancy also contains a meeting arrangement module, audit/revision control, and laboratory supply management system. We believe Elegancy could help the scientific research community gather evidence, share information, reorganize knowledge, and digitize laboratory works with greater ease and security ... (Full article...)

Recently featured:

Retrieved from "https://test.limswiki.org/index.php?title=Template:Article_of_the_week&oldid=51769"