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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

2,928 concepts found, displaying 2,881 to 2,900.First140141142143144145146147Last
Id Label Status Status Modified Notation
581640 Korytné Quick edit Valid 2013-05-30 581640
581658 Práznovce Quick edit Valid 2013-05-30 581658
581674 Hencovce Quick edit Valid 2013-05-30 581674
581691 Štefanovičová Quick edit Valid 2013-05-30 581691
581704 Kuzmice Quick edit Valid 2013-05-30 581704
581712 Šuja Quick edit Valid 2013-05-30 581712
581747 Horná Ves Quick edit Valid 2013-05-30 581747
581895 Hrkovce Quick edit Valid 2013-05-30 581895
581984 Hlboké nad Váhom Quick edit Valid 2013-05-30 581984
582051 Zlatno Quick edit Valid 2013-05-30 582051
582093 Vyšný Medzev Quick edit Valid 2013-05-30 582093
582140 Lackovce Quick edit Valid 2013-05-30 582140
582301 Bohunice Quick edit Valid 2013-05-30 582301
582361 Obid Quick edit Valid 2013-05-30 582361
582387 Čab Quick edit Valid 2013-05-30 582387
582425 Dolné Lefantovce Quick edit Valid 2013-05-30 582425
582514 Kostoľany nad Hornádom Quick edit Valid 2013-05-30 582514
582522 Potônske Lúky Quick edit Valid 2013-05-30 582522
582549 Nový Svet Quick edit Valid 2013-05-30 582549
582638 Malá Mača Quick edit Valid 2013-05-30 582638
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?