You are here:
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 821 to 840.First3839404142434445Last
Id Label Status Status Modified Notation
031405 Tagilde Quick edit Valid 2013-05-30 031405
031406 Vizela (Santo Adrião) Quick edit Valid 2013-05-30 031406
031407 Vizela (São Paio) Quick edit Valid 2013-05-30 031407
040101 Agrobom Quick edit Valid 2013-05-30 040101
040102 Alfândega da Fé Quick edit Valid 2013-05-30 040102
040103 Cerejais Quick edit Valid 2013-05-30 040103
040104 Eucisia Quick edit Valid 2013-05-30 040104
040105 Ferradosa Quick edit Valid 2013-05-30 040105
040106 Gebelim Quick edit Valid 2013-05-30 040106
040107 Gouveia Quick edit Valid 2013-05-30 040107
040108 Parada Quick edit Valid 2013-05-30 040108
040109 Pombal Quick edit Valid 2013-05-30 040109
040110 Saldonha Quick edit Valid 2013-05-30 040110
040111 Sambade Quick edit Valid 2013-05-30 040111
040112 Sendim da Ribeira Quick edit Valid 2013-05-30 040112
040113 Sendim da Serra Quick edit Valid 2013-05-30 040113
040114 Soeima Quick edit Valid 2013-05-30 040114
040115 Vale Pereiro Quick edit Valid 2013-05-30 040115
040116 Vales Quick edit Valid 2013-05-30 040116
040117 Valverde Quick edit Valid 2013-05-30 040117
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?