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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 5,021 to 5,040.First248249250251252253254255Last
Id Label Status Status Modified Notation
80296 Sini rid Quick edit Valid 2013-05-30 80296
80306 Chelnik Quick edit Valid 2013-05-30 80306
80311 Chelopek Quick edit Valid 2013-05-30 80311
80323 Chelopech Quick edit Valid 2013-05-30 80323
80340 Chelopechene Quick edit Valid 2013-05-30 80340
80354 Chelyustnitsa Quick edit Valid 2013-05-30 80354
80368 Chemish Quick edit Valid 2013-05-30 80368
80371 Chepelare Quick edit Valid 2013-05-30 80371
80385 Chepino Quick edit Valid 2013-05-30 80385
80399 Chepintsi Quick edit Valid 2013-05-30 80399
80409 Chepintsi Quick edit Valid 2013-05-30 80409
80412 Chepleten Quick edit Valid 2013-05-30 80412
80426 Cheparlintsi Quick edit Valid 2013-05-30 80426
80437 Cherven Quick edit Valid 2013-05-30 80437
80443 Cherven Quick edit Valid 2013-05-30 80443
80457 Chervena Quick edit Valid 2013-05-30 80457
80460 Chervena voda Quick edit Valid 2013-05-30 80460
80474 Chervenakovo Quick edit Valid 2013-05-30 80474
80488 Chervena mogila Quick edit Valid 2013-05-30 80488
80491 Cherven breg Quick edit Valid 2013-05-30 80491
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?