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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 101 to 120.First23456789Last
Id Label Status Status Modified Notation
110181401 Sieradz Quick edit Valid 2013-05-30 110181401
110181402 Błaszki Quick edit Valid 2013-05-30 110181402
110181403 Brąszewice Quick edit Valid 2013-05-30 110181403
110181404 Brzeźnio Quick edit Valid 2013-05-30 110181404
110181405 Burzenin Quick edit Valid 2013-05-30 110181405
110181406 Goszczanów Quick edit Valid 2013-05-30 110181406
110181407 Klonowa Quick edit Valid 2013-05-30 110181407
110181408 Sieradz Quick edit Valid 2013-05-30 110181408
110181409 Warta Quick edit Valid 2013-05-30 110181409
110181410 Wróblew Quick edit Valid 2013-05-30 110181410
110181411 Złoczew Quick edit Valid 2013-05-30 110181411
110181701 Biała Quick edit Valid 2013-05-30 110181701
110181702 Czarnożyły Quick edit Valid 2013-05-30 110181702
110181703 Konopnica Quick edit Valid 2013-05-30 110181703
110181704 Mokrsko Quick edit Valid 2013-05-30 110181704
110181705 Osjaków Quick edit Valid 2013-05-30 110181705
110181706 Ostrówek Quick edit Valid 2013-05-30 110181706
110181707 Pątnów Quick edit Valid 2013-05-30 110181707
110181708 Skomlin Quick edit Valid 2013-05-30 110181708
110181709 Wieluń Quick edit Valid 2013-05-30 110181709
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?