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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 241 to 260.First910111213141516Last
Id Label Status Status Modified Notation
114253706 Żuromin Quick edit Valid 2013-05-30 114253706
114256201 Płock Quick edit Valid 2013-05-30 114256201
114261001 Huszlew Quick edit Valid 2013-05-30 114261001
114261002 Łosice Quick edit Valid 2013-05-30 114261002
114261003 Olszanka Quick edit Valid 2013-05-30 114261003
114261004 Platerów Quick edit Valid 2013-05-30 114261004
114261005 Sarnaki Quick edit Valid 2013-05-30 114261005
114261006 Stara Kornica Quick edit Valid 2013-05-30 114261006
114261101 Maków Mazowiecki Quick edit Valid 2013-05-30 114261101
114261102 Czerwonka Quick edit Valid 2013-05-30 114261102
114261103 Karniewo Quick edit Valid 2013-05-30 114261103
114261104 Krasnosielc Quick edit Valid 2013-05-30 114261104
114261105 Młynarze Quick edit Valid 2013-05-30 114261105
114261106 Płoniawy-Bramura Quick edit Valid 2013-05-30 114261106
114261107 Różan Quick edit Valid 2013-05-30 114261107
114261108 Rzewnie Quick edit Valid 2013-05-30 114261108
114261109 Sypniewo Quick edit Valid 2013-05-30 114261109
114261110 Szelków Quick edit Valid 2013-05-30 114261110
114261501 Baranowo Quick edit Valid 2013-05-30 114261501
114261502 Czarnia Quick edit Valid 2013-05-30 114261502
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?