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URL: https://github.com/SciKnowEngine/kefed.io
Proper Citation: Knowledge Engineering from Experimental Design (RRID:SCR_001238)
Description: Knowledge engineering software for reasoning with scientific observations and interpretations. The software has three parts: (a) the KEfED model editor - a design editor for creating KEfED models by drawing a flow diagram of an experimental protocol; (b) the KEfED data interface - a spreadsheet-like tool that permits users to enter experimental data pertaining to a specific model; (c) a "neural connection matrix" interface that presents neural connectivity as a table of ordinal connection strengths representing the interpretations of tract-tracing data. This tool also allows the user to view experimental evidence pertaining to a specific connection. The KEfED model is designed to provide a lightweight representation for scientific knowledge that is (a) generalizable, (b) a suitable target for text-mining approaches, (c) relatively semantically simple, and (d) is based on the way that scientist plan experiments and should therefore be intuitively understandable to non-computational bench scientists. The basic idea of the KEfED model is that scientific observations tend to have a common design: there is a significant difference between measurements of some dependent variable under conditions specified by two (or more) values of some independent variable.
Abbreviations: KEfED
Resource Type: software application, software resource
Defining Citation: PMID:21859449
Keywords: experimental design, observation, interpretation, reasoning, experimental data, observational assertion, knowledge engineering, java
Funding: NIGMS R01-GM083871; NIMH 1R01MH079068-01A2; NCRR 1 U24 RR025736-01
Availability: Free, Available for download, Freely available
Resource Name: Knowledge Engineering from Experimental Design
Resource ID: SCR_001238
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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