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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File: | <div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1_Joyce_2015.png|220px]]</div> | ||
'''"[[Journal: | '''"[[Journal:Generalized procedure for screening free software and open-source software applications|Generalized procedure for screening free software and open-source software applications]]"''' | ||
Free software and [[:Category:Open-source software|open-source software projects]] have become a popular alternative tool in both scientific research and other fields. However, selecting the optimal application for use in a project can be a major task in itself, as the list of potential applications must first be identified and screened to determine promising candidates before an in-depth analysis of systems can be performed. To simplify this process, we have initiated a project to generate a library of in-depth reviews of free software and open-source software applications. Preliminary to beginning this project, a review of evaluation methods available in the literature was performed. As we found no one method that stood out, we synthesized a general procedure using a variety of available sources for screening a designated class of applications to determine which ones to evaluate in more depth. In this paper, we examine a number of currently published processes to identify their strengths and weaknesses. By selecting from these processes we synthesize a proposed screening procedure to triage available systems and identify those most promising of pursuit. ('''[[Journal:Generalized procedure for screening free software and open-source software applications|Full article...]]''')<br /> | |||
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''Recently featured'': [[Journal:Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference|Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference]], [[Journal:Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education|Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education | ''Recently featured'': [[Journal:Human–information interaction with complex information for decision-making|Human–information interaction with complex information for decision-making]], [[Journal:Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference|Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference]], [[Journal:Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education|Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education]] | ||
Revision as of 17:24, 3 November 2015
"Generalized procedure for screening free software and open-source software applications"
Free software and open-source software projects have become a popular alternative tool in both scientific research and other fields. However, selecting the optimal application for use in a project can be a major task in itself, as the list of potential applications must first be identified and screened to determine promising candidates before an in-depth analysis of systems can be performed. To simplify this process, we have initiated a project to generate a library of in-depth reviews of free software and open-source software applications. Preliminary to beginning this project, a review of evaluation methods available in the literature was performed. As we found no one method that stood out, we synthesized a general procedure using a variety of available sources for screening a designated class of applications to determine which ones to evaluate in more depth. In this paper, we examine a number of currently published processes to identify their strengths and weaknesses. By selecting from these processes we synthesize a proposed screening procedure to triage available systems and identify those most promising of pursuit. (Full article...)
Recently featured: Human–information interaction with complex information for decision-making, Making big data useful for health care: A summary of the inaugural MIT Critical Data Conference, Beyond information retrieval and electronic health record use: Competencies in clinical informatics for medical education
