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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,841 to 2,860.First139140141142143144145146Last
Id Label Status Status Modified Notation
PL0B Pomorskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0B
PL0C Slaskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0C
PL0D Swietokrzyskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0D
PL0E Warminsko-Mazurskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0E
PL0F Wielkopolskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0F
PL0G Zachodniopomorskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0G
PL1 Region Centralny (NUTS 2013) Quick edit Valid 2013-09-25 PL1
PL11 Lódzkie (NUTS 2013) Quick edit Valid 2013-09-25 PL11
PL111 Lódzki (NUTS 2003) Quick edit Valid 2013-09-25 PL111
PL112 Piotrkowsko-skierniewicki (NUTS 2003) Quick edit Valid 2013-09-25 PL112
PL113 Miasto Lódz (NUTS 2013) Quick edit Valid 2013-09-25 PL113
PL114 Lódzki (NUTS 2013) Quick edit Valid 2013-09-25 PL114
PL115 Piotrkowski (NUTS 2013) Quick edit Valid 2013-09-25 PL115
PL116 Sieradzki (NUTS 2013) Quick edit Valid 2013-09-25 PL116
PL117 Skierniewicki (NUTS 2013) Quick edit Valid 2013-09-25 PL117
PL12 Mazowieckie (NUTS 2013) Quick edit Valid 2013-09-25 PL12
PL121 Ciechanowsko-plocki (NUTS 2010) Quick edit Valid 2013-09-25 PL121
PL122 Ostrolecko-siedlecki (NUTS 2010) Quick edit Valid 2013-09-25 PL122
PL124 Radomski (NUTS 2003) Quick edit Valid 2013-09-25 PL124
PL126 Warszawski (NUTS 2003) Quick edit Valid 2013-09-25 PL126
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?