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 1,881 to 1,900.First9192939495969798Last
Id Label Status Status Modified Notation
502010704 Marciszów Quick edit Valid 2013-05-30 502010704
502011001 Lubań Quick edit Valid 2013-05-30 502011001
502011002 Świeradów-Zdrój Quick edit Valid 2013-05-30 502011002
502011003 Leśna Quick edit Valid 2013-05-30 502011003
502011004 Lubań Quick edit Valid 2013-05-30 502011004
502011005 Olszyna Quick edit Valid 2013-05-30 502011005
502011006 Platerówka Quick edit Valid 2013-05-30 502011006
502011007 Siekierczyn Quick edit Valid 2013-05-30 502011007
502011201 Gryfów Śląski Quick edit Valid 2013-05-30 502011201
502011202 Lubomierz Quick edit Valid 2013-05-30 502011202
502011203 Lwówek Śląski Quick edit Valid 2013-05-30 502011203
502011204 Mirsk Quick edit Valid 2013-05-30 502011204
502011205 Wleń Quick edit Valid 2013-05-30 502011205
502012501 Zawidów Quick edit Valid 2013-05-30 502012501
502012502 Zgorzelec Quick edit Valid 2013-05-30 502012502
502012503 Bogatynia Quick edit Valid 2013-05-30 502012503
502012504 Pieńsk Quick edit Valid 2013-05-30 502012504
502012505 Sulików Quick edit Valid 2013-05-30 502012505
502012506 Węgliniec Quick edit Valid 2013-05-30 502012506
502012507 Zgorzelec Quick edit Valid 2013-05-30 502012507
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?