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adding descriptions of use cases
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jonrkarr committed Mar 16, 2020
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Expand Up @@ -199,12 +199,13 @@ <h2>Use cases</h2>
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<p class="before-list"><i>ObjTables</i> was designed for uses cases where users need to quickly view, edit, validate, analyze, and share entire datasets.</p>
<ul class="vertically-spaced-list">
<li><b>Data integration and modeling:</b> <i>ObjTables</i>
</li>

<li><b>Supplementary data of journal articles:</b> <i>ObjTables</i> is an excellent medium for supplementary data for journal articles. <i>ObjTables</i> enables authors to publish their data in a format that can easily both be (a) viewed by any reader (with just a workbook viewer such as Excel) generally without needing to install or learn any software and (b) parsed by readers into a data structure for further analysis. The later is made easy by the ability to package schemas and datasets together into a single workbook.</li>
<li><b>Data integration and modeling:</b> <i>ObjTables</i> is ideal for data integration and modeling because <i>ObjTables</i> makes it easy to use (a) workbooks for building and editing datasets/models, (b) the <i>ObjTables</i> software to rigorously validate datasets/models and quickly correct errors, (c) programming languages to analyze datasets and simulate models, and (d) version control systems such as Git to revision datasets and models.</li>

<li><b>Domain-specific formats/languages for nascent domains:</b> <i>ObjTables</i> makes it easy to quickly define a format/language for a domain, including the schema and software tools for interacting with datasets encoded in the schema. In particular, <i>ObjTables</i> is well-suited to building domain-specific formats/langauges for nascent academic fields because <i>ObjTables</i> schemas and datasets are easy to create and iteratively edit.</li>

<li><b>Supplementary data of academic journal articles:</b> <i>ObjTables</i> is an excellent medium for supplementary data for journal articles. <i>ObjTables</i> enables authors to publish their data in a format that can easily be (a) viewed by any reader (with just a workbook viewer such as Excel) generally without needing to install or learn any software and (b) parsed by readers into a data structure for further analysis. The later is made easy by the ability to package schemas and datasets together into a single workbook.</li>

<li><b>Sharing data with collaborators and colleagues:</b> For similar reasons, <i>ObjTables</i> is an excellent medium for sharing data with collaborators and colleagues. Because Excel is so common, in many cases, <i>ObjTables</i> datasets shared via email or with networks such as DropBox and Google Drive can be previewed in email clients and in web browsers without having to open any additional software.</li>
<li><b>Sharing data with collaborators and colleagues:</b> For similar reasons, <i>ObjTables</i> is an excellent medium for sharing data with collaborators and colleagues. Because Excel is so common, in many cases, <i>ObjTables</i> datasets shared via email or with networks such as DropBox and Google Drive can be previewed in email clients and web browsers without users having to open any additional software.</li>
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