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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 5,161 to 5,180.First255256257258259260261262Last
Id Label Status Status Modified Notation
81815 Churukovo Quick edit Valid 2013-05-30 81815
81829 Chuchuliga Quick edit Valid 2013-05-30 81829
81832 Chuchuligovo Quick edit Valid 2013-05-30 81832
81850 Cherna Mesta Quick edit Valid 2013-05-30 81850
81863 Cholakova Quick edit Valid 2013-05-30 81863
81904 Charkovo Quick edit Valid 2013-05-30 81904
81918 Chervena lokva Quick edit Valid 2013-05-30 81918
81921 Chervena skala Quick edit Valid 2013-05-30 81921
81935 Chereshka Quick edit Valid 2013-05-30 81935
81952 Cherna gora Quick edit Valid 2013-05-30 81952
81966 Chernik Quick edit Valid 2013-05-30 81966
81975 Choba Quick edit Valid 2013-05-30 81975
83017 Shabla Quick edit Valid 2013-05-30 83017
83020 Shanovo Quick edit Valid 2013-05-30 83020
83034 Sharani Quick edit Valid 2013-05-30 83034
83048 Sharenska Quick edit Valid 2013-05-30 83048
83051 Sharkovo Quick edit Valid 2013-05-30 83051
83082 Shatrovo Quick edit Valid 2013-05-30 83082
83106 Sheynovo Quick edit Valid 2013-05-30 83106
83123 Sheremetya Quick edit Valid 2013-05-30 83123
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?