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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

4,260 concepts found, displaying 2,321 to 2,340.First113114115116117118119120Last
Id Label Status Status Modified Notation
111118 Agualva Quick edit Valid 2013-05-30 111118
111119 Cacém Quick edit Valid 2013-05-30 111119
111120 Mira-Sintra Quick edit Valid 2013-05-30 111120
111121 São Marcos Quick edit Valid 2013-05-30 111121
111201 Santo Quintino Quick edit Valid 2013-05-30 111201
111202 Sapataria Quick edit Valid 2013-05-30 111202
111203 Sobral de Monte Agraço Quick edit Valid 2013-05-30 111203
111301 A dos Cunhados Quick edit Valid 2013-05-30 111301
111302 Campelos Quick edit Valid 2013-05-30 111302
111303 Carmões Quick edit Valid 2013-05-30 111303
111304 Carvoeira Quick edit Valid 2013-05-30 111304
111305 Dois Portos Quick edit Valid 2013-05-30 111305
111306 Freiria Quick edit Valid 2013-05-30 111306
111307 Matacães Quick edit Valid 2013-05-30 111307
111308 Maxial Quick edit Valid 2013-05-30 111308
111309 Monte Redondo Quick edit Valid 2013-05-30 111309
111310 Ponte do Rol Quick edit Valid 2013-05-30 111310
111311 Ramalhal Quick edit Valid 2013-05-30 111311
111312 Runa Quick edit Valid 2013-05-30 111312
111313 Torres Vedras (Santa Maria do Castelo e São Miguel) Quick edit Valid 2013-05-30 111313
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?