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To delete a sample, perform a sample search, find the sample to be deleted, and click Edit =in the first column of the the Sample Search Results page. The Update Sample page opens. This page also opens when you, as a curator, choose to edit a sample while you are reviewing data prior to public release. From the Update Sample page, click Delete in the lower-left corner of the window. Confirm the deletion.

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Metrics Metrics

Generating Data Availability Metrics

Once you successfully save a sample to the database, you or the data curator can generate a data availability metrics table for the sample. The metrics identify the percentage of data available for the sample and displays a metrics of submitted data against caNanoLab-supported data and data supported in the MinChar standard (see step #5 below).

Reviewing the Metrics for an Individual Sample

To To generate or review a data availability metrics for an individual sample

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1. Perform a

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1. sample

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1. search.

2. From the sample search results, if data availability is generated for a sample, click the link in the Data Availability column.

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   You can review the entire metrics, and click Close when you are done.

Re/Generating a Metrics for an Individual Sample

To generate an editable availability metrics for a sample

1. From the sample search results, click Edit in the Actions column.
2. Update Sample opens and the Data Availability Metrics section is at the bottom.
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   1. If there is no metrics generated for the sample, click Generate.
   2. If a metrics was previously generated, click Edit as shown in the screen above.
   The metrics table displays high-level medidata for minimal care.
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3. Using examples, the following table describes the percentages at the top of the metrics.

   Percentages at the Top of the Metrics	Description
   caNanoLab Availability Score: 23.0% (7 out of 30)	Indicates that the sample has 23% of the total possible number of caNanoLab attributes filled in or 7 out of 30.
   MINChar Availability Score: 11.0% (1 out of 9)	Indicates that the sample has 11% ofthe total possible number of MinChar attributes filled in or 1 out of 9.

4. The following table describes each column on the metrics.

5. Perform a search for an existing sample that you submitted. If you are a curator, you do not have to submit the sample to generate the metrics. See Searching Existing Samples.

6. If data availability is generated for a sample, you will see its metrix summary in the Data Availability column of the Search Results list. Click the link for the availability results in the column to view them in their entirety.

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   If you open the data availability metrics in this manner, you can only review the metrics. To edit it, proceed with step 3.

   If you open the data availability metrics in this manner, you can only review the metrics. To edit it, proceed with step 3.

7. To generate an editable availability metrics for a sample, on the search results page, click Edit corresponding to the sample.
8. At the bottom of the sample details page that opens, click Generate corresponding to Data Availability Metrics.
9. The metrics table displays high-level medidata for minimal care. Three columns are shown:
   caNanoLab –

   Columns in the Metrics	Description
   caNanoLab

   Lists all data elements that can be added to the sample in caNanoLab.
   MinChar	Lists the minimum nanoparticle characterization standards as established by MinChar Initiatives Multiexcerpt include MultiExcerptName ExitDisclaimer nopanel true PageWithExcerpt wikicontent:Exit Disclaimer to Include

   MinChar – Lists the minimum nanoparticle characterization standards as established by MinChar Initiatives

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   [Name of sample]

   – Check marks indicate the data element annotations added to the sample.The top of the table displays two percentages based on the total and actual number of attributes available for the sample:

   includes check marks where data element annotations are added to the sample.

10. The following buttons are at the bottom of the metrics.
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11. The total possible number of caNanoLab characteristics is 30. The sample may have 23 out of 30 filled in. A percentage is calculated from 23 out of 30.
The total possible number of MinChar characteristics is 9. The sample may have 4 out of 9 filled in. A percentage is calculated from 4 out of 9.

1. Click Delete to delete the metrics for this sample.
2. Click
Cancel to close the data availability section of the Update Sample page
1. Close to return to Update Sample without changing the metrics.

2. Click

Update

1. Regenerate to regenerate the metrics.

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Bookmarking a Sample to My Favorites

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