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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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
114262607 Przesmyki Quick edit Valid 2013-05-30 114262607
114262608 Siedlce Quick edit Valid 2013-05-30 114262608
114262609 Skórzec Quick edit Valid 2013-05-30 114262609
114262610 Suchożebry Quick edit Valid 2013-05-30 114262610
114262611 Wiśniew Quick edit Valid 2013-05-30 114262611
114262612 Wodynie Quick edit Valid 2013-05-30 114262612
114262613 Zbuczyn Quick edit Valid 2013-05-30 114262613
114262901 Sokołów Podlaski Quick edit Valid 2013-05-30 114262901
114262902 Bielany Quick edit Valid 2013-05-30 114262902
114262903 Ceranów Quick edit Valid 2013-05-30 114262903
114262904 Jabłonna Lacka Quick edit Valid 2013-05-30 114262904
114262905 Kosów Lacki Quick edit Valid 2013-05-30 114262905
114262906 Repki Quick edit Valid 2013-05-30 114262906
114262907 Sabnie Quick edit Valid 2013-05-30 114262907
114262908 Sokołów Podlaski Quick edit Valid 2013-05-30 114262908
114262909 Sterdyń Quick edit Valid 2013-05-30 114262909
114263301 Węgrów Quick edit Valid 2013-05-30 114263301
114263302 Grębków Quick edit Valid 2013-05-30 114263302
114263303 Korytnica Quick edit Valid 2013-05-30 114263303
114263304 Liw Quick edit Valid 2013-05-30 114263304
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?