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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

7,878 concepts found, displaying 7,701 to 7,720.First382383384385386387388389Last
Id Label Status Status Modified Notation
zad Cajonos Zapotec Quick edit Valid 2014-03-20 zad
zae Yareni Zapotec Quick edit Valid 2014-03-20 zae
zaf Ayoquesco Zapotec Quick edit Valid 2014-03-20 zaf
zag Zaghawa Quick edit Valid 2014-03-20 zag
zah Zangwal Quick edit Valid 2014-03-20 zah
zai Isthmus Zapotec Quick edit Valid 2014-03-20 zai
zaj Zaramo Quick edit Valid 2014-03-20 zaj
zak Zanaki Quick edit Valid 2014-03-20 zak
zal Zauzou Quick edit Valid 2014-03-20 zal
zam Miahuatlán Zapotec Quick edit Valid 2014-03-20 zam
zao Ozolotepec Zapotec Quick edit Valid 2014-03-20 zao
zap Zapotec Quick edit Valid 2014-03-20 zap
zaq Aloápam Zapotec Quick edit Valid 2014-03-20 zaq
zar Rincón Zapotec Quick edit Valid 2014-03-20 zar
zas Santo Domingo Albarradas Zapotec Quick edit Valid 2014-03-20 zas
zat Tabaa Zapotec Quick edit Valid 2014-03-20 zat
zau Zangskari Quick edit Valid 2014-03-20 zau
zav Yatzachi Zapotec Quick edit Valid 2014-03-20 zav
zaw Mitla Zapotec Quick edit Valid 2014-03-20 zaw
zax Xadani Zapotec Quick edit Valid 2014-03-20 zax
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?