setting meta description in web site

KarrLab · Apr 30, 2020 · 6b9f395 · 6b9f395
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diff --git a/obj_tables/web/app.html b/obj_tables/web/app.html
@@ -5,7 +5,7 @@
     <meta http-equiv="x-ua-compatible" content="ie=edge">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>ObjTables: Toolkit for managing complex tabular datasets</title>
-    <meta name="description" content="ObjTables is a toolkit for systematically managing tabular datasets, such as Excel workbooks. ObjTables can help users design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures."/>
+    <meta name="description" content="ObjTables is a toolkit for systematically building, annotating, validating, and parsing complex tabular datasets with the ease of use of Excel and the power of schemas. ObjTables makes it easy to design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, capture metadata such as the author of a dataset, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures for further analysis in langauges such as Python. The ObjTables software is available through four interfaces: a web application, a REST API, a command-line program, and a Python library. Together, ObjTables can help researchers define formats for domain-specific data, integrate diverse data, analyze complex datasets, and share data."/>
     <meta name="keywords" content="data, table, schema, data model, meta model, data type, validate, Python"/>
     <meta name="language" content="EN">
     <meta name="copyright" content="Karr Lab"/>

diff --git a/obj_tables/web/docs.html b/obj_tables/web/docs.html
@@ -5,7 +5,7 @@
     <meta http-equiv="x-ua-compatible" content="ie=edge">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>ObjTables: Toolkit for managing complex tabular datasets</title>
-    <meta name="description" content="ObjTables is a toolkit for systematically managing tabular datasets, such as Excel workbooks. ObjTables can help users design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures."/>
+    <meta name="description" content="ObjTables is a toolkit for systematically building, annotating, validating, and parsing complex tabular datasets with the ease of use of Excel and the power of schemas. ObjTables makes it easy to design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, capture metadata such as the author of a dataset, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures for further analysis in langauges such as Python. The ObjTables software is available through four interfaces: a web application, a REST API, a command-line program, and a Python library. Together, ObjTables can help researchers define formats for domain-specific data, integrate diverse data, analyze complex datasets, and share data."/>
     <meta name="keywords" content="data, table, schema, data model, meta model, data type, validate, Python"/>
     <meta name="language" content="EN">
     <meta name="copyright" content="Karr Lab"/>

diff --git a/obj_tables/web/index.html b/obj_tables/web/index.html
@@ -5,7 +5,7 @@
     <meta http-equiv="x-ua-compatible" content="ie=edge">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>ObjTables: Toolkit for managing complex tabular datasets</title>
-    <meta name="description" content="ObjTables is a toolkit for systematically describing, annotating, validating, and parsing complex tabular datasets, such as Excel workbooks. ObjTables. ObjTables helps users design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, capture metadata such as the author of a dataset, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures for further analysis in langauges such as Python. The ObjTables software is available through four interfaces: a web application, a REST API, a command-line program, and a Python library."/>
+    <meta name="description" content="ObjTables is a toolkit for systematically building, annotating, validating, and parsing complex tabular datasets with the ease of use of Excel and the power of schemas. ObjTables makes it easy to design schemas for datasets, generate template Excel workbooks with inline help and validation for building datasets, capture metadata such as the author of a dataset, use schemas to validate the syntax and semantics of datasets, and use schemas to parse datasets into data structures for further analysis in langauges such as Python. The ObjTables software is available through four interfaces: a web application, a REST API, a command-line program, and a Python library. Together, ObjTables can help researchers define formats for domain-specific data, integrate diverse data, analyze complex datasets, and share data."/>
     <meta name="keywords" content="data, table, schema, data model, meta model, data type, validate, Python"/>
     <meta name="language" content="EN">
     <meta name="copyright" content="Karr Lab"/>