Increase point value of "without cost"

Closes #47.

public/methodology/methodology.html

@@ -41,7 +41,7 @@ <h2 id="selection-of-datasets">Selection of Datasets</h2>
           <p><a href="https://github.com/sunlightpolicy/State-Open-Data-Census/issues/1#issuecomment-73299844">We used the G8 National Action Plan’s definition of “High-Value Datasets,”</a> recognizing that needs and opportunities are different at the state level than at the national level. We <a href="https://github.com/sunlightpolicy/State-Open-Data-Census/issues?q=is%3Aissue">created GitHub issues to select each representative dataset</a>, and in the ensuing discussion we selected the most appropriate state-level dataset to represent that class of data.</p>
 
           <h2>Evaluation Criteria</h2>
-          <p>Each dataset is evaluated by 12 metrics. Each is worth 5 points, except for “Exists,” which is worth 0 points, and “Machine-readable,” which is worth 50. (Machine readability is worth far more points because that is the essence of open data. There is a good argument to be made that open licensing is just as valuable, but there is inadequate evidence that U.S. states claiming copyright on these datasets is a practical obstacle to openness to warrant equal scoring at this time.) This adds up to 100 points, upon which grading is based. The grading scale is as follows:</p>
+          <p>Each dataset is evaluated by 12 metrics. Each is worth 5 points, except for “Exists” (which is worth 0 points) “Free” (which is worth 15 points) and “Machine-readable” (which is worth 40 points). Machine readability is worth far more points because that is the essence of open data, and being without cost is worth somewhat more because of its corresponding importance (though not essential nature) to the free flow of data. There is a good argument to be made that open licensing is also quite valuable, but there is inadequate evidence that U.S. states claiming copyright on these datasets is a practical obstacle to openness to warrant equal scoring at this time—often, they seem to claim copyright accidentally, via boilerplate copyright statements on websites. All of these cirteria add up to 100 points, upon which grading is based. The grading scale is as follows:</p>
 
           <div class="table-responsive">
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@@ -111,6 +111,8 @@ <h2 id="completeness-criteria">Evaluation Criteria for Completeness</h2>
           <h3 id="evaluation-corporations">Companies</h3>
           <p><a href="https://github.com/sunlightpolicy/State-Open-Data-Census/issues/39">GitHub Discussion</a></p>
 
+          <p>Evaluation begins by looking at <a href="http://registries.opencorporates.com/jurisdiction/average_us">OpenCorporations’ scores for individual states</a>.</p>
+
           <ul>
           <li>ID</li>
           <li>name</li>
@@ -253,7 +255,7 @@ <h3 id="evaluation-vehicle-crashes">Vehicle Crashes</h3>
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