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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

2,479 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
114262201 Przasnysz Quick edit Valid 2013-05-30 114262201
114262202 Chorzele Quick edit Valid 2013-05-30 114262202
114262203 Czernice Borowe Quick edit Valid 2013-05-30 114262203
114262204 Jednorożec Quick edit Valid 2013-05-30 114262204
114262205 Krasne Quick edit Valid 2013-05-30 114262205
114262206 Krzynowłoga Mała Quick edit Valid 2013-05-30 114262206
114262207 Przasnysz Quick edit Valid 2013-05-30 114262207
114262401 Gzy Quick edit Valid 2013-05-30 114262401
114262402 Obryte Quick edit Valid 2013-05-30 114262402
114262403 Pokrzywnica Quick edit Valid 2013-05-30 114262403
114262404 Pułtusk Quick edit Valid 2010-01-01 114262404
114262405 Świercze Quick edit Valid 2013-05-30 114262405
114262406 Winnica Quick edit Valid 2013-05-30 114262406
114262407 Zatory Quick edit Valid 2010-01-01 114262407
114262601 Domanice Quick edit Valid 2013-05-30 114262601
114262602 Korczew Quick edit Valid 2013-05-30 114262602
114262603 Kotuń Quick edit Valid 2013-05-30 114262603
114262604 Mokobody Quick edit Valid 2013-05-30 114262604
114262605 Mordy Quick edit Valid 2013-05-30 114262605
114262606 Paprotnia Quick edit Valid 2013-05-30 114262606
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?