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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

2,928 concepts found, displaying 921 to 940.First4344454647484950Last
Id Label Status Status Modified Notation
511277 Budiná Quick edit Valid 2013-05-30 511277
511293 Buzitka Quick edit Valid 2013-05-30 511293
511315 Cinobaňa Quick edit Valid 2013-05-30 511315
511323 Čakanovce Quick edit Valid 2013-05-30 511323
511331 Čamovce Quick edit Valid 2013-05-30 511331
511340 České Brezovo Quick edit Valid 2013-05-30 511340
511358 Divín Quick edit Valid 2013-05-30 511358
511366 Dobroč Quick edit Valid 2013-05-30 511366
511374 Kotmanová Quick edit Valid 2013-05-30 511374
511391 Fiľakovo Quick edit Valid 2013-05-30 511391
511404 Fiľakovské Kováče Quick edit Valid 2013-05-30 511404
511421 Halič Quick edit Valid 2013-05-30 511421
511439 Holiša Quick edit Valid 2013-05-30 511439
511447 Hradište Quick edit Valid 2013-05-30 511447
511463 Jelšovec Quick edit Valid 2013-05-30 511463
511471 Kalinovo Quick edit Valid 2013-05-30 511471
511480 Kalonda Quick edit Valid 2013-05-30 511480
511498 Kokava nad Rimavicou Quick edit Valid 2013-05-30 511498
511501 Krná Quick edit Valid 2013-05-30 511501
511510 Látky Quick edit Valid 2013-05-30 511510
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?