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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 801 to 820.First3738394041424344Last
Id Label Status Status Modified Notation
11702 Voditsa Quick edit Valid 2013-05-30 11702
11716 Voditsa Quick edit Valid 2013-05-30 11716
11720 Vodna Quick edit Valid 2013-05-30 11720
11733 Vodni pad Quick edit Valid 2013-05-30 11733
11750 Vodno Quick edit Valid 2013-05-30 11750
11764 Vodno Quick edit Valid 2013-05-30 11764
11778 Vodnyantsi Quick edit Valid 2013-05-30 11778
11781 Vodnyantsi Quick edit Valid 2013-05-30 11781
11795 Vodoley Quick edit Valid 2013-05-30 11795
11805 Vozhdovo Quick edit Valid 2013-05-30 11805
11819 Voyvoda Quick edit Valid 2013-05-30 11819
11822 Voyvodenets Quick edit Valid 2013-05-30 11822
11836 Voyvodino Quick edit Valid 2013-05-30 11836
11845 Voyvodinovo Quick edit Valid 2013-05-30 11845
11853 Voyvodovo Quick edit Valid 2013-05-30 11853
11867 Voyvodovo Quick edit Valid 2013-05-30 11867
11870 Voykova laka Quick edit Valid 2013-05-30 11870
11884 Voynegovtsi Quick edit Valid 2013-05-30 11884
11898 Voynezha Quick edit Valid 2013-05-30 11898
11908 Voynika Quick edit Valid 2013-05-30 11908
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?