========================================= Correcting Records During Quality Control ========================================= **How to use these instructions:** - This page lists the specific steps for finding and correcting errors in metadata records - Note that each editor only has access to specific parts of the Digital Collections, so not all examples may apply - Although this page will include some examples of common errors, editors may need to identify specific types of problems based on knowledge of a particular collection and on relevant documentation: - :doc:`UNTL Metadata Input Guidelines ` - :doc:`Quality Control in Metadata ` *********************** Step 1: Identify Issues *********************** - Use the system tools to find problems in metadata, such as mis-formatted or missing values - Note that tools will generally not say that something specific is wrong, they just organize information in ways that may help editors identify an issue - For each of the tool sections on this page, there is one specific example; use the documentation about the individual tools for more suggestions Dashboard ========= - Some Dashboard filters can identify problems such as "incomplete" records or records containing invalid dates - :doc:`More about Dashboard options` .. image:: ../_static/images/qcmr-dash.png :alt: Screenshot of filters in the edit system Dashboard. Count ===== - The count tool helps to find missing or extra entries, such as: - Too few subjects (or no UNTL-BS terms in Portal records) - Multiple photographers for a single photographer (i.e., possible placeholder values left in a record) - No creation dates for items in a collection that have known dates - :doc:`More about the count tool ` .. image:: ../_static/images/qcmr-count.png :alt: Screenshot of subject entries in the count tool. Facet ===== - The facet tool helps with finding typos or similar values that may be normalized - :doc:`More about the facet tool ` .. image:: ../_static/images/qcmr-facet.png :alt: Screenshot of personal creator name entries in the facet tool. Cluster ======= - The cluster tool helps to find values with different formatting or that do not fit a particular expected pattern, e.g.: - Near-identical names with different spacing or punctuation - Extremely long (or short) subject or title values - Identifiers that do not fit a standard pattern used in a collection - :doc:`More about the cluster tool ` .. image:: ../_static/images/qcmr-cluster.png :alt: Screenshot of organizational creator entries in the cluster tool. ******************** Step 2: Find Records ******************** - If you're using the Dashboard filters, click on the appropriate filter (e.g., "Invalid Dates") - From the tools, click a value (in cluster or facet) or a numeric value (in count) to open a Dashboard search meeting those criteria .. image:: ../_static/images/qcmr-list.png :alt: Screenshot showing a cluster value and the related Dashboard search for the value. ******************** Step 3: Edit Records ******************** - For **each record** on the Dashboard list for an identified issue, click "Edit" to open the editing form and change, add, or remove the value (depending on what is appropriate) .. image:: ../_static/images/qcmr-correct.png :alt: Screenshot showing record in the metadata editng form and the corrected value. - After fixing the issue, click the "publish" button at right to save the record (do not change the visibility of the record unless instructed to do so) .. image:: ../_static/images/qcmr-pub.png :alt: Screenshot of the publish button in a metadata record editing form. ************** Step 4: Repeat ************** - After a particular value has been changed, the lists in the Dashboard and tools will update (note that values in cluster cache and will take longer to reflect changes) - Find a new issue or value that needs to be changed and follow the same steps - Note that some departments or projects may already have lists of corrections that need to be made; other suggestions may also be found `here `_