Overview are an important part of a list, as they let readers know the source(s) which contributed to the list's dataset. You can add new attribution at the Dataset Editor or when you are creating/editing a dataset item. Attributions
At the Dataset Editor, you can also edit and remove attributions. This official RList tutorial guides you through the steps to manage your dataset attributions.
Assumptions. This tutorial assumes you have selected a dataset to edit from the dashboard. If not, you can refer to this tutorial on selecting a dataset for editing. Preparing data
This list, How to manage attributions of a dataset?, contains 6 data items. The key items for How to manage attributions of a dataset? are Attribution section, Add/Edit attribution, Attribution Properties, Delete Attribution, Confirmation for Deletion, Summary, .Description of Attribution section: The attribution section of the Dataset Editor is located nearer to the page bottom, right after the list of dataset items.. Description of Add/Edit attribution: Click <span style="font-weight: 700;">Add new attribution source</span> to add a new attribution, or <span style="font-weight: 700;">Edit</span> to update an existing attribution.. Description of Attribution Properties: <p>An attribution has two fields - <font color="#0000ff">URL </font>and <font color="#0000ff">Name</font>.</p><p>The <font color="#0000ff">URL </font>is a required field i.e. it is compulsory for you to provide an online link to the source that you used for your dataset. Yes, this means that RList does require that all attribution sources be accessible online.</p><p>The <font color="#0000ff">Name </font>is an optional field. In some cases, such as Wikipedia URLs, the name of the attribution is automatically generated.</p><p>Once you have provided at least the URL for the attribution, click <b>Update </b>to save the changes.</p>. Description of Delete Attribution: To delete an existing attribution, click the <b>Delete </b>symbol. . Description of Confirmation for Deletion: <p>You will receive a confirmation prompt, confirming if you indeed wish to delete the selected attribution.</p><p>Click <b>Delete </b>if you wish to do so (or <b>Cancel </b>if you have changed your mind.)</p>. Description of Summary: <p></p><p>In summary, attributions are an important part of a list. Do diligently attribute the original sources of your dataset. </p><hr><p style="text-align: center;"><span style="color: rgb(156, 156, 148);">END OF TUTORIAL</span></p>. This list tracks 0 properties. The tracked properties are .The default field that we focus on here in this list is name.