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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

6,250 concepts found, displaying 1,061 to 1,080.First5051525354555657Last
Id Label Status Status Modified Notation
537284 Lesnice Quick edit Valid 2013-05-30 537284
537292 Kněžice Quick edit Valid 2013-05-30 537292
537306 Kolaje Quick edit Valid 2013-05-30 537306
537314 Kostelní Lhota Quick edit Valid 2013-05-30 537314
537322 Lužice Quick edit Valid 2013-05-30 537322
537331 Kostomlaty nad Labem Quick edit Valid 2013-05-30 537331
537349 Košík Quick edit Valid 2013-05-30 537349
537357 Kounice Quick edit Valid 2013-05-30 537357
537365 Olšovice Quick edit Valid 2013-05-30 537365
537373 Kovanice Quick edit Valid 2013-05-30 537373
537381 Mahouš Quick edit Valid 2013-05-30 537381
537390 Krchleby Quick edit Valid 2013-05-30 537390
537403 Křečkov Quick edit Valid 2013-05-30 537403
537411 Křinec Quick edit Valid 2013-05-30 537411
537420 Chvalovice Quick edit Valid 2013-05-30 537420
537438 Libice nad Cidlinou Quick edit Valid 2013-05-30 537438
537446 Loučeň Quick edit Valid 2013-05-30 537446
537454 Lysá nad Labem Quick edit Valid 2013-05-30 537454
537462 Mcely Quick edit Valid 2013-05-30 537462
537489 Městec Králové Quick edit Valid 2013-05-30 537489
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?