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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:exactMatch 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

541 concepts found, displaying 341 to 360.First1415161718192021Last
Id Label Status Status Modified Notation
532 South America Unallocated Quick edit Valid 2014-07-14 532
533 Near East Unallocated Quick edit Valid 2014-07-14 533
534 Near East Africa Unallocated Quick edit Valid 2014-07-14 534
535 Other Europe Quick edit Valid 2014-07-14 535
536 Near East Asia Unallocated Quick edit Valid 2014-07-14 536
537 Far East Unallocated Quick edit Valid 2014-07-14 537
538 South Asia Unallocated Quick edit Valid 2014-07-14 538
539 Pacific Unallocated Quick edit Valid 2014-07-14 539
540 America Unallocated Quick edit Valid 2014-07-14 540
541 Asia Unallocated Quick edit Valid 2014-07-14 541
542 Palestinian People Quick edit Valid 2014-07-14 542
543 Arabs Countries Unallocated Quick edit Valid 2014-07-14 543
544 Developing Countries Unallocated Quick edit Valid 2014-07-14 544
545 LDC Unallocated Quick edit Valid 2014-07-14 545
546 Oceania Unallocated Quick edit Valid 2014-07-14 546
547 Asia And Pacific Unallocated Quick edit Valid 2014-07-14 547
548 Europe Unallocated Quick edit Valid 2014-07-14 548
549 Mekong Delta Unallocated Quick edit Valid 2014-07-14 549
550 All Unallocated World Quick edit Valid 2014-07-14 550
551 Asia Unallocated Quick edit Valid 2014-07-14 551
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?