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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 1,181 to 1,200.First5657585960616263Last
Id Label Status Status Modified Notation
16924 Gorno Sahrane Quick edit Valid 2013-05-30 16924
16938 Gorno selo Quick edit Valid 2013-05-30 16938
16941 Gornoseltsi Quick edit Valid 2013-05-30 16941
16955 Gornoslav Quick edit Valid 2013-05-30 16955
16969 Gorno Spanchevo Quick edit Valid 2013-05-30 16969
16986 Gorno trape Quick edit Valid 2013-05-30 16986
16995 Gorno Uyno Quick edit Valid 2013-05-30 16995
17004 Gorno Harsovo Quick edit Valid 2013-05-30 17004
17018 Gorno Tserovene Quick edit Valid 2013-05-30 17018
17035 Gorno Yabalkovo Quick edit Valid 2013-05-30 17035
17049 Gorovo Quick edit Valid 2013-05-30 17049
17052 Gorovo Quick edit Valid 2013-05-30 17052
17066 Gorotsvet Quick edit Valid 2013-05-30 17066
17077 Gorochevtsi Quick edit Valid 2013-05-30 17077
17083 Gorska Quick edit Valid 2013-05-30 17083
17097 Gorska polyana Quick edit Valid 2013-05-30 17097
17107 Gorski goren Trambesh Quick edit Valid 2013-05-30 17107
17124 Gorski dolen Trambesh Quick edit Valid 2013-05-30 17124
17138 Gorski izvor Quick edit Valid 2013-05-30 17138
17141 Gorski izvor Quick edit Valid 2013-05-30 17141
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?