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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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 5,241 to 5,260.First259260261262263264265266Last
Id Label Status Status Modified Notation
87076 Yabalkovo Quick edit Valid 2013-05-30 87076
87081 Yabalkovtsi Quick edit Valid 2013-05-30 87081
87093 Yabalchevo Quick edit Valid 2013-05-30 87093
87103 Yabalcheni Quick edit Valid 2013-05-30 87103
87117 Yavor Quick edit Valid 2013-05-30 87117
87120 Yavorets Quick edit Valid 2013-05-30 87120
87134 Yavornitsa Quick edit Valid 2013-05-30 87134
87148 Yavorovets Quick edit Valid 2013-05-30 87148
87165 Yavorovo Quick edit Valid 2013-05-30 87165
87179 Yavrovo Quick edit Valid 2013-05-30 87179
87182 Yavorovo Quick edit Valid 2013-05-30 87182
87206 Yagnilo Quick edit Valid 2013-05-30 87206
87212 Yagoda Quick edit Valid 2013-05-30 87212
87223 Yagodina Quick edit Valid 2013-05-30 87223
87237 Yagodovo Quick edit Valid 2013-05-30 87237
87240 Yagodovo Quick edit Valid 2013-05-30 87240
87254 Yazdach Quick edit Valid 2013-05-30 87254
87271 Yazovets Quick edit Valid 2013-05-30 87271
87285 Yakim Gruevo Quick edit Valid 2013-05-30 87285
87299 Yakimovo Quick edit Valid 2013-05-30 87299
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?