Update About text

ome2024-ngff-challenge/src/About.svelte

@@ -10,57 +10,68 @@
 
   <ul>
     <li>
-      Collect examples of OME-Zarr from multiple modalities, use cases, and
-      institutions, available from a single location.
+      Advancing the status of OME-Zarr specification proposals —
+      <a href="https://ngff.openmicroscopy.org/rfc/">Requests for Comment (RFC)</a> —
+      especially the adoption of the Zarr V3 specification
     </li>
     <li>
-      Test the utility (and lack thereof) of existing OME-Zarr metadata and
-      image viewers.
+      Collecting the URLs of converted examples of OME-Zarr from multiple modalities, use cases, and
+      institutions, all hosted by each participant themselves
     </li>
     <li>
-      Advance the adoption of the Zarr V3 specification, and also existing
-      OME-Zarr RFCs.
+      Testing the level of maturity of OME-Zarr conversion tools, image viewers,
+      and metadata in general
     </li>
   </ul>
   <p>
     The inspiration for the Challenge came from presentations at the OME Meeting
-    that demonstrated the level of adoption of OME-Zarr, but highlighted the
-    poor findability of the data.
+    that demonstrated the level of adoption of OME-Zarr and the relative ease of
+    conversion for some community members, but highlighted the often poor findability of the data
+    and the need for driving the OME-Zarr specification towards version 1.0.
+  <p>
+    A lofty goal of 1 Petabyte (PB) of data was set, mostly to make clear the scale of what <em>could be</em>.
   </p>
   <p>
     Work on the challenge started in earnest in July 2024. All progress is
     tracked in the <a href="https://github.com/ome/ome2024-ngff-challenge">ome2024-ngff-challenge</a>
-    repo. It was agreed that the results
-    of the OME-NGFF Challenge would be presented at the
+    repository. It was agreed that the deadline for submission would be such that the results
+    of the OME-NGFF Challenge could be presented at the
     <a href="https://globalbioimaging.org/exchange-of-experience/exchange-of-experience-ix">
       2024 Global BioImaging Meeting</a>.
   </p>
 
   <h2>Process</h2>
   <p>
-    The Challenge was run via a series of virtual meetings coordinated on the
+    The Challenge was run via a series of virtual meetings open to all which were coordinated on the
     Image.sc Forums, with all
     <a href="https://hackmd.io/3emKqKQsT_2U35vLepzDEQ">notes and lists of participants</a>
-    available.
+    available. Initial meetings including that at OME2024 focused on defining the scope of
+    changes that would be made to the OME-Zarr format. A Python-based tool to convert data
+    to this format was built. Submissions were then collected in simple CSV files with a Zarr
+    URL per row.
   </p>
 
   <h2>Results</h2>
   <p>
-    At the outset, we weren’t sure how much OME-Zarr data was available, if it
-    could be converted to Zarr V3, or how many organisations would participate.
-    In the end, we have far exceeded our expectations, with more than 0.5 PByte
-    of OME-Zarr made available, across a wide range of modalities.
+    At the outset, it was unclear how much OME-Zarr data was available, if it
+    could be converted to Zarr V3, and how many organisations would participate.
+    In the end, we are pleased with the more than 500 Terabytes of data which
+    have been made available, across a wide range of modalities.
   </p>
   <p>
-    To make the assembly as accessible as possible, we built the the OME-NGFF
-    Challenge Viewer [URL?}, which incorporates a CSV with locations of
-    datasets, and connects datasets to the OME NGFF Validator, for metadata
-    validation and viewing.
+    To make the collection as accessible as possible, the
+  <a href="https://ome.github.io/ome2024-ngff-challenge">OME-NGFF Challenge Viewer</a>,
+    was built which uses a CSV with locations of
+    datasets to enable collection statistics, browsing of thumbnails, and opening
+    the datasets with the OME NGFF Validator, for metadata
+    validation and viewing. Please let us know on image.sc or GitHub if you have any issues
+    or ideas.
   </p>
   <p>
-    Perhaps the most important outcome of the Challenge is the establishment of
-    a federated bioimage data system based on OME-Zarr. To our knowledge, this
-    is the largest federated bioimage data collection ever assembled.
+    Looking back, perhaps the most rewording outcome of the Challenge is that with a remarkably
+    modest investment of time and cloud resources, we have almost inadvertently prototyped
+    a federated bioimage data system based on OME-Zarr, the largest one we know of.
+    We hope future challenges will continue to push the state-of-the-art forward.
   </p>
 </div>
 

ome2024-ngff-challenge/src/Main.svelte

@@ -173,8 +173,11 @@
     <div class="summary">
       <h3 style="text-align:center">
         {#if csvUrl == SAMPLES_HOME}
-          In the summer of 2024, the OME-NGFF project generated
-          <strong style="font-weight:600">{filesizeformat(totalBytes)}</strong> of data in Zarr v3 format
+          This site makes
+          <strong style="font-weight:600">{filesizeformat(totalBytes)}</strong>
+          of public bioimage data available in the Zarr v3 format.
+          The OME-NGFF community converted and now hosts
+          this federated collection of the next version OME-Zarr.
           {/if}
           <div style="font-size: 90%">
             Showing Collection: