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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 2,741 to 2,760.First134135136137138139140141Last
Id Label Status Status Modified Notation
556530 Horné Zelenice Quick edit Valid 2013-05-30 556530
556548 Šterusy Quick edit Valid 2013-05-30 556548
556556 Pavlice Quick edit Valid 2013-05-30 556556
556564 Slovenská Nová Ves Quick edit Valid 2013-05-30 556564
556572 Veľké Orvište Quick edit Valid 2013-05-30 556572
556581 Hubina Quick edit Valid 2013-05-30 556581
556599 Dlhá Quick edit Valid 2013-05-30 556599
556602 Horné Trhovište Quick edit Valid 2013-05-30 556602
556611 Tekolďany Quick edit Valid 2013-05-30 556611
556645 Tepličky Quick edit Valid 2013-05-30 556645
556653 Radošovce Quick edit Valid 2013-05-30 556653
556661 Dolné Lovčice Quick edit Valid 2013-05-30 556661
556670 Šelpice Quick edit Valid 2013-05-30 556670
556688 Lošonec Quick edit Valid 2013-05-30 556688
556696 Nitrianske Hrnčiarovce Quick edit Valid 2013-05-30 556696
556742 Pochabany Quick edit Valid 2013-05-30 556742
556777 Jesenské Quick edit Valid 2013-05-30 556777
556785 Malé Chyndice Quick edit Valid 2013-05-30 556785
556793 Borčany Quick edit Valid 2013-05-30 556793
556807 Ižipovce Quick edit Valid 2013-05-30 556807
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?