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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 7,401 to 7,420.First367368369370371372373374Last
Id Label Status Status Modified Notation
xtj San Juan Teita Mixtec Quick edit Valid 2014-03-20 xtj
xtl Tijaltepec Mixtec Quick edit Valid 2014-03-20 xtl
xtm Magdalena Peñasco Mixtec Quick edit Valid 2014-03-20 xtm
xtn Northern Tlaxiaco Mixtec Quick edit Valid 2014-03-20 xtn
xto Tokharian A Quick edit Valid 2014-03-20 xto
xtp San Miguel Piedras Mixtec Quick edit Valid 2014-03-20 xtp
xtq Tumshuqese Quick edit Valid 2014-03-20 xtq
xtr Early Tripuri Quick edit Valid 2014-03-20 xtr
xts Sindihui Mixtec Quick edit Valid 2014-03-20 xts
xtt Tacahua Mixtec Quick edit Valid 2014-03-20 xtt
xtu Cuyamecalco Mixtec Quick edit Valid 2014-03-20 xtu
xtv Thawa Quick edit Valid 2014-03-20 xtv
xtw Tawandê Quick edit Valid 2014-03-20 xtw
xty Yoloxochitl Mixtec Quick edit Valid 2014-03-20 xty
xtz Tasmanian Quick edit Valid 2014-03-20 xtz
xua Alu Kurumba Quick edit Valid 2014-03-20 xua
xub Betta Kurumba Quick edit Valid 2014-03-20 xub
xud Umiida Quick edit Valid 2014-03-20 xud
xug Kunigami Quick edit Valid 2014-03-20 xug
xuj Jennu Kurumba Quick edit Valid 2014-03-20 xuj
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?