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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 4,701 to 4,720.First232233234235236237238239Last
Id Label Status Status Modified Notation
72452 Tihovets Quick edit Valid 2013-05-30 72452
72463 Tihomir Quick edit Valid 2013-05-30 72463
72477 Tihomirovo Quick edit Valid 2013-05-30 72477
72480 Ticha Quick edit Valid 2013-05-30 72480
72494 Tishanovo Quick edit Valid 2013-05-30 72494
72504 Tishevitsa Quick edit Valid 2013-05-30 72504
72518 Tiyanovtsi Quick edit Valid 2013-05-30 72518
72521 Tlachene Quick edit Valid 2013-05-30 72521
72535 Todoretsite Quick edit Valid 2013-05-30 72535
72549 Todor Ikonomovo Quick edit Valid 2013-05-30 72549
72552 Todorichene Quick edit Valid 2013-05-30 72552
72566 Todorovo Quick edit Valid 2013-05-30 72566
72578 Todorovo Quick edit Valid 2013-05-30 72578
72583 Todorovtsi Quick edit Valid 2013-05-30 72583
72597 Todorovtsi Quick edit Valid 2013-05-30 72597
72607 Todyuvtsi Quick edit Valid 2013-05-30 72607
72610 Tokachka Quick edit Valid 2013-05-30 72610
72624 Dobrich Quick edit Valid 2013-05-30 72624
72638 Tolovitsa Quick edit Valid 2013-05-30 72638
72641 Tombeto Quick edit Valid 2013-05-30 72641
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?