Information about the various metadata fields can be obtained by placing the cursor on the field names (a roll-over window appears). Here is some more information about some of the fields:

• Title
  • Enter a title for your dataset.
  • If your dataset is used in a publication, you may enter the title of the publication, and click on Add “Replication Data for” to Title.
• Author
  • Enter your name as you use it in your publications. We recommend you to add your affiliation as well. For entering co-authors, click on the plus button. We also recommend you to add your ORCID (https://orcid.org).
• Contact
  • Enter a contact email address. Also add the name of the contact person or research group/institution.
• Description
  • Enter information about the data to be uploaded. Avoid using certain HTML tags and other special characters (e.g. [ or ]). If you need to add paragraphs, add the HTML tags <p> and </p> around each paragraph.
  • If relevant, enter information about the data collection/methodology here.
  • If applicable, also enter the publication abstract. The abstract should be entered into a second description field, which can be added by clicking the plus button to the right. NB! If your article is only submitted and not accepted (yet), DO NOT mention the name of the journal it has been submitted to.
• Keyword
  • Information such as the subject area(s) (e.g. morphology or zoology) and the statistical method(s) may be entered into the keyword field.
  • Each keyword needs to be entered separately. Please click the plus button to enter more keywords.
  • Vocabulary and Vocabulary URL are not mandatory and may be left empty.
• Related Publication
  • If the files you are depositing are the background data for a publication, you should include a reference to the publication here.
  • Note! If your manuscript has been submitted for review but has not yet been accepted, DO NOT list the name of the journal or publisher. Instead you may simply write “Submitted for review” or similar.
  • Note! If the review of your manuscript is going to be double blind (both author and reviewer are anonymous), you must add a note about it in the Related Publication field. This way, the curators can assist you in anonymizing the dataset.
  • (When adding more than one publication, only the first of them will be visible on the overview page of the dataset. If you don’t want to highlight any of the publications in this way, you may add the following text in the first publication field: “Click Metadata tab below to see related publication(s).” This text will show up on the overview page, and to see the actual publications, user will have to click the Metadata tab.)
• Depositor and Deposit Date
  • These fields are pre-filled. Do not change them. Deposit Date refers to the date when the dataset first was uploaded to the repository.

Enter more metadata

Once you have created a dataset draft, we recommend that enter more information about the dataset. This will increase the chance of others being able to discover your data and interpreting and reusing it correctly.

Select the Metadata tab and click the Add + Edit Metadata button. To the extent applicable, we recommend that you enter information in these fields:

• Language
  • Select the language you have used to describe your data. Often this will be English.
• Contributor:
  • Here you should credit those who have contributed to the dataset, including those who are not to be listed as authors. In the Type field you can choose what role they have had (e.g. Data Collector).
• Grant Information:
  • Information about your funding agency.
• Time Period Covered:
  • What time period is the data from or about?
• Date of Collection:
  • When was the data collected / generated?
• Kind of Data
  • What kind of data is it? Hover your mouse over the question mark to the right of the field name, and you will see some suggestions, e.g. survey data, experimental data, observation data.
• Related Material:
  • Material related to the dataset.
• Related Datasets:
  • Other data sets related to the dataset. This may be your own or others’ data sets. If available, use full reference, including persistent identifier (e.g. DOI).
• Data Sources:
  • If you have not generated or collected the data yourself, enter information here about your sources. This can for example be an archive, a corpus, or a website from which you downloaded the data.