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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 1,101 to 1,120.First5253545556575859Last
Id Label Status Status Modified Notation
16064 Goritsa Quick edit Valid 2013-05-30 16064
16078 Goritsa Quick edit Valid 2013-05-30 16078
16081 Goritsa Quick edit Valid 2013-05-30 16081
16095 Gorichane Quick edit Valid 2013-05-30 16095
16105 Gorichevo Quick edit Valid 2013-05-30 16105
16119 Gorna Bela rechka Quick edit Valid 2013-05-30 16119
16122 Gorna Beshovitsa Quick edit Valid 2013-05-30 16122
16136 Gorna Breznitsa Quick edit Valid 2013-05-30 16136
16141 Gorna Brestnitsa Quick edit Valid 2013-05-30 16141
16153 Gorna Verenitsa Quick edit Valid 2013-05-30 16153
16167 Gorna Vrabcha Quick edit Valid 2013-05-30 16167
16170 Gorna Glogovitsa Quick edit Valid 2013-05-30 16170
16184 Septemvriytsi Quick edit Valid 2013-05-30 16184
16198 Gorna Grashtitsa Quick edit Valid 2013-05-30 16198
16208 Gorna Dikanya Quick edit Valid 2013-05-30 16208
16211 Gorna Zlatitsa Quick edit Valid 2013-05-30 16211
16225 Gorna Kabda Quick edit Valid 2013-05-30 16225
16239 Gorna Kovachitsa Quick edit Valid 2013-05-30 16239
16242 Gorna Koznitsa Quick edit Valid 2013-05-30 16242
16256 Gorna Kremena Quick edit Valid 2013-05-30 16256
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?