Team:Michigan Software/Project
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- | Choosing apt and reliable protocols for new experiments is a problem that productive wet labs routinely face. However, it is difficult to know in detail which protocols will produce the best results. Experimental practices may differ immensely across laboratories, and precise details of these practices may be lost or forgotten as skilled faculty or students leave the lab to pursue other endeavors. These two realities give rise to a vast number of experimental protocols of which many are left with undocumented experiential knowledge. Furthermore, no tool yet exists to allow wet lab investigators to measure and compare the efficacy of protocols before executing them forthright. | + | <p> |
+ | Choosing apt and reliable protocols for new experiments is a problem that productive wet labs routinely face. However, it is difficult to know in detail which protocols will produce the best results. Experimental practices may differ immensely across laboratories, and precise details of these practices may be lost or forgotten as skilled faculty or students leave the lab to pursue other endeavors. These two realities give rise to a vast number of experimental protocols of which many are left with undocumented experiential knowledge. Furthermore, no tool yet exists to allow wet lab investigators to measure and compare the efficacy of protocols before executing them forthright.</p> | ||
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Such fragmentation in protocol methods and their documentation may to some degree hamper scientific progress. From the immense number of protocols currently in use, there are few well-defined protocols that are generally agreed upon by the scientific community, in part due to the lack of a system that can supply a measure of a protocol’s acceptance compared to its variants. In turn, the lack of commonly accepted protocols and their inadequate documentation has the potential to affect experimental reproducibility through method inconsistencies across laboratories and across succession of investigators. | Such fragmentation in protocol methods and their documentation may to some degree hamper scientific progress. From the immense number of protocols currently in use, there are few well-defined protocols that are generally agreed upon by the scientific community, in part due to the lack of a system that can supply a measure of a protocol’s acceptance compared to its variants. In turn, the lack of commonly accepted protocols and their inadequate documentation has the potential to affect experimental reproducibility through method inconsistencies across laboratories and across succession of investigators. | ||
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- | In order to address these problems, we set out to build a database that integrates a crowdsourced ratings and comments system to clearly document, rate, elaborate, review, and organize variants of experimental protocols. Such a tool serves as a curator for protocol variants and enables wet lab investigators to compare protocol efficacies. Furthermore, the crowdsourced ratings system quantifies a protocol’s acceptance within the scientific community and can serve as a useful criterion to assist with finding and selecting from common protocols. In addition, a protocol comments system provides an avenue through which experiential knowledge can be passed along. As an extension to the protocol database, we will also develop a dynamic calculator that can run user-defined theoretical calculations for any protocol, such as limiting reagent, yield, or even the monetary cost of the materials used. The calculator further assists investigators in comparing and performing protocols. In all, these tools will help wet lab investigators to document, organize, and compare protocols to assist with scientific experimentation.</div | + | <p> |
+ | In order to address these problems, we set out to build a database that integrates a crowdsourced ratings and comments system to clearly document, rate, elaborate, review, and organize variants of experimental protocols. Such a tool serves as a curator for protocol variants and enables wet lab investigators to compare protocol efficacies. Furthermore, the crowdsourced ratings system quantifies a protocol’s acceptance within the scientific community and can serve as a useful criterion to assist with finding and selecting from common protocols. In addition, a protocol comments system provides an avenue through which experiential knowledge can be passed along. As an extension to the protocol database, we will also develop a dynamic calculator that can run user-defined theoretical calculations for any protocol, such as limiting reagent, yield, or even the monetary cost of the materials used. The calculator further assists investigators in comparing and performing protocols. In all, these tools will help wet lab investigators to document, organize, and compare protocols to assist with scientific experimentation. | ||
+ | </p> | ||
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</html> | </html> | ||
Revision as of 23:57, 14 October 2014
Contents |
Description
Choosing apt and reliable protocols for new experiments is a problem that productive wet labs routinely face. However, it is difficult to know in detail which protocols will produce the best results. Experimental practices may differ immensely across laboratories, and precise details of these practices may be lost or forgotten as skilled faculty or students leave the lab to pursue other endeavors. These two realities give rise to a vast number of experimental protocols of which many are left with undocumented experiential knowledge. Furthermore, no tool yet exists to allow wet lab investigators to measure and compare the efficacy of protocols before executing them forthright.
Such fragmentation in protocol methods and their documentation may to some degree hamper scientific progress. From the immense number of protocols currently in use, there are few well-defined protocols that are generally agreed upon by the scientific community, in part due to the lack of a system that can supply a measure of a protocol’s acceptance compared to its variants. In turn, the lack of commonly accepted protocols and their inadequate documentation has the potential to affect experimental reproducibility through method inconsistencies across laboratories and across succession of investigators.
In order to address these problems, we set out to build a database that integrates a crowdsourced ratings and comments system to clearly document, rate, elaborate, review, and organize variants of experimental protocols. Such a tool serves as a curator for protocol variants and enables wet lab investigators to compare protocol efficacies. Furthermore, the crowdsourced ratings system quantifies a protocol’s acceptance within the scientific community and can serve as a useful criterion to assist with finding and selecting from common protocols. In addition, a protocol comments system provides an avenue through which experiential knowledge can be passed along. As an extension to the protocol database, we will also develop a dynamic calculator that can run user-defined theoretical calculations for any protocol, such as limiting reagent, yield, or even the monetary cost of the materials used. The calculator further assists investigators in comparing and performing protocols. In all, these tools will help wet lab investigators to document, organize, and compare protocols to assist with scientific experimentation.
Aims
Team:Michigan Software/Project/Aims
Methods
Success
Future Directions