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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 4,841 to 4,860.First239240241242243244245246Last
Id Label Status Status Modified Notation
75085 Uzundzhovo Quick edit Valid 2013-05-30 75085
75099 Uzunite Quick edit Valid 2013-05-30 75099
75112 Umarevtsi Quick edit Valid 2013-05-30 75112
75139 Urvata Quick edit Valid 2013-05-30 75139
75143 Urovene Quick edit Valid 2013-05-30 75143
75157 Uruchevtsi Quick edit Valid 2013-05-30 75157
75174 Usoyka Quick edit Valid 2013-05-30 75174
75188 Ustina Quick edit Valid 2013-05-30 75188
75191 Ustrem Quick edit Valid 2013-05-30 75191
75201 Ustren Quick edit Valid 2013-05-30 75201
75215 Uhlovitsa Quick edit Valid 2013-05-30 75215
75229 Ushevtsi Quick edit Valid 2013-05-30 75229
75232 Ushi Quick edit Valid 2013-05-30 75232
75246 Ushintsi Quick edit Valid 2013-05-30 75246
75254 Uzunovo Quick edit Valid 2013-05-30 75254
76011 Fabrika Quick edit Valid 2013-05-30 76011
76025 Fazanovo Quick edit Valid 2013-05-30 76025
76039 Fakia Quick edit Valid 2013-05-30 76039
76042 Fatovo Quick edit Valid 2013-05-30 76042
76056 Velislav Quick edit Valid 2013-05-30 76056
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?