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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 2,461 to 2,480.First120121122123124125126127Last
Id Label Status Status Modified Notation
121503 Santo Amaro Quick edit Valid 2013-05-30 121503
121504 Sousel Quick edit Valid 2013-05-30 121504
130101 Aboadela Quick edit Valid 2013-05-30 130101
130102 Aboim Quick edit Valid 2013-05-30 130102
130103 Ansiães Quick edit Valid 2013-05-30 130103
130104 Ataíde Quick edit Valid 2013-05-30 130104
130105 Bustelo Quick edit Valid 2013-05-30 130105
130106 Canadelo Quick edit Valid 2013-05-30 130106
130107 Candemil Quick edit Valid 2013-05-30 130107
130108 Carneiro Quick edit Valid 2013-05-30 130108
130109 Carvalho de Rei Quick edit Valid 2013-05-30 130109
130110 Cepelos Quick edit Valid 2013-05-30 130110
130111 Chapa Quick edit Valid 2013-05-30 130111
130112 Fregim Quick edit Valid 2013-05-30 130112
130113 Freixo de Baixo Quick edit Valid 2013-05-30 130113
130114 Freixo de Cima Quick edit Valid 2013-05-30 130114
130115 Fridão Quick edit Valid 2013-05-30 130115
130116 Gatão Quick edit Valid 2013-05-30 130116
130117 Gondar Quick edit Valid 2013-05-30 130117
130118 Jazente Quick edit Valid 2013-05-30 130118
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?