You are here:
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 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
224441706 Lipowa Quick edit Valid 2013-05-30 224441706
224441707 Łękawica Quick edit Valid 2013-05-30 224441707
224441708 Łodygowice Quick edit Valid 2013-05-30 224441708
224441709 Milówka Quick edit Valid 2013-05-30 224441709
224441710 Radziechowy-Wieprz Quick edit Valid 2013-05-30 224441710
224441711 Rajcza Quick edit Valid 2013-05-30 224441711
224441712 Ślemień Quick edit Valid 2013-05-30 224441712
224441713 Świnna Quick edit Valid 2013-05-30 224441713
224441714 Ujsoły Quick edit Valid 2013-05-30 224441714
224441715 Węgierska Górka Quick edit Valid 2013-05-30 224441715
224446101 Bielsko-Biała Quick edit Valid 2013-05-30 224446101
224450701 Lubliniec Quick edit Valid 2010-01-01 224450701
224450702 Boronów Quick edit Valid 2013-05-30 224450702
224450703 Ciasna Quick edit Valid 2013-05-30 224450703
224450704 Herby Quick edit Valid 2013-05-30 224450704
224450705 Kochanowice Quick edit Valid 2013-05-30 224450705
224450706 Koszęcin Quick edit Valid 2010-01-01 224450706
224450707 Pawonków Quick edit Valid 2013-05-30 224450707
224450708 Woźniki Quick edit Valid 2013-05-30 224450708
224451301 Kalety Quick edit Valid 2013-05-30 224451301
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?