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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 3,161 to 3,180.First155156157158159160161162Last
Id Label Status Status Modified Notation
RO112 Bistrita-Nasaud Quick edit Valid 2013-09-25 RO112
RO113 Cluj Quick edit Valid 2013-09-25 RO113
RO114 Maramures Quick edit Valid 2013-09-25 RO114
RO115 Satu Mare Quick edit Valid 2013-09-25 RO115
RO116 Salaj Quick edit Valid 2013-09-25 RO116
RO12 Centru Quick edit Valid 2013-09-25 RO12
RO121 Alba Quick edit Valid 2013-09-25 RO121
RO122 Brasov Quick edit Valid 2013-09-25 RO122
RO123 Covasna Quick edit Valid 2013-09-25 RO123
RO124 Harghita Quick edit Valid 2013-09-25 RO124
RO125 Mures Quick edit Valid 2013-09-25 RO125
RO126 Sibiu Quick edit Valid 2013-09-25 RO126
RO2 Macroregiunea doi Quick edit Valid 2013-09-25 RO2
RO21 Nord-Est Quick edit Valid 2013-09-25 RO21
RO211 Bacau Quick edit Valid 2013-09-25 RO211
RO212 Botosani Quick edit Valid 2013-09-25 RO212
RO213 Iasi Quick edit Valid 2013-09-25 RO213
RO214 Neamt Quick edit Valid 2013-09-25 RO214
RO215 Suceava Quick edit Valid 2013-09-25 RO215
RO216 Vaslui Quick edit Valid 2013-09-25 RO216
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?