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

2,928 concepts found, displaying 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
520314 Kalinov Quick edit Valid 2013-05-30 520314
520322 Kalná Roztoka Quick edit Valid 2008-08-07 520322
520331 Kamenica nad Cirochou Quick edit Valid 2013-05-30 520331
520349 Kamienka Quick edit Valid 2013-05-30 520349
520357 Karná Quick edit Valid 2013-05-30 520357
520365 Klenová Quick edit Valid 2008-08-07 520365
520373 Kochanovce Quick edit Valid 2013-05-30 520373
520381 Kolbasov Quick edit Valid 2013-05-30 520381
520390 Kolonica Quick edit Valid 2013-05-30 520390
520403 Koškovce Quick edit Valid 2013-05-30 520403
520411 Krásny Brod Quick edit Valid 2013-05-30 520411
520438 Ladomirov Quick edit Valid 2013-05-30 520438
520446 Lieskovec Quick edit Valid 2013-05-30 520446
520454 Ľubiša Quick edit Valid 2013-05-30 520454
520462 Lukačovce Quick edit Valid 2013-05-30 520462
520471 Medzilaborce Quick edit Valid 2013-05-30 520471
520489 Michajlov Quick edit Valid 2013-05-30 520489
520497 Modra nad Cirochou Quick edit Valid 2013-05-30 520497
520501 Myslina Quick edit Valid 2013-05-30 520501
520519 Ňagov Quick edit Valid 2013-05-30 520519
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?