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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 2,821 to 2,840.First138139140141142143144145Last
Id Label Status Status Modified Notation
PE Peru Quick edit Valid 2013-09-25 PE
PE_CAP Lima Quick edit Valid 2013-09-25 PE_CAP
PF French Polynesia (FR) Quick edit Valid 2013-09-25 PF
PG Papua New Guinea Quick edit Valid 2013-09-25 PG
PG_CAP Port Moresby Quick edit Valid 2013-09-25 PG_CAP
PH Philippines Quick edit Valid 2013-09-25 PH
PH_CAP Manila Quick edit Valid 2013-09-25 PH_CAP
PK Pakistan Quick edit Valid 2013-09-25 PK
PK_CAP Islamabad Quick edit Valid 2013-09-25 PK_CAP
PL Poland Quick edit Valid 2013-09-25 PL
PL01 Dolnoslaskie (statistical region 2001) Quick edit Valid 2013-09-25 PL01
PL02 Kujawsko-Pomorskie (statistical region 2001) Quick edit Valid 2013-09-25 PL02
PL03 Lubelskie (statistical region 2001) Quick edit Valid 2013-09-25 PL03
PL04 Lubuskie (statistical region 2001) Quick edit Valid 2013-09-25 PL04
PL05 Lódzkie (statistical region 2001) Quick edit Valid 2013-09-25 PL05
PL06 Malopolskie (statistical region 2001) Quick edit Valid 2013-09-25 PL06
PL07 Mazowieckie (statistical region 2001) Quick edit Valid 2013-09-25 PL07
PL08 Opolskie (statistical region 2001) Quick edit Valid 2013-09-25 PL08
PL09 Podkarpackie (statistical region 2001) Quick edit Valid 2013-09-25 PL09
PL0A Podlaskie (statistical region 2001) Quick edit Valid 2013-09-25 PL0A
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?