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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

4,260 concepts found, displaying 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
040524 Peredo Quick edit Valid 2013-05-30 040524
040525 Podence Quick edit Valid 2013-05-30 040525
040526 Salselas Quick edit Valid 2013-05-30 040526
040527 Santa Combinha Quick edit Valid 2013-05-30 040527
040528 Sesulfe Quick edit Valid 2013-05-30 040528
040529 Soutelo Mourisco Quick edit Valid 2013-05-30 040529
040530 Talhas Quick edit Valid 2013-05-30 040530
040531 Talhinhas Quick edit Valid 2013-05-30 040531
040532 Vale Benfeito Quick edit Valid 2013-05-30 040532
040533 Vale da Porca Quick edit Valid 2013-05-30 040533
040534 Vale de Prados Quick edit Valid 2013-05-30 040534
040535 Vilar do Monte Quick edit Valid 2013-05-30 040535
040536 Vilarinho de Agrochão Quick edit Valid 2013-05-30 040536
040537 Vilarinho do Monte Quick edit Valid 2013-05-30 040537
040538 Vinhas Quick edit Valid 2013-05-30 040538
040601 Atenor Quick edit Valid 2013-05-30 040601
040602 Cicouro Quick edit Valid 2013-05-30 040602
040603 Constantim Quick edit Valid 2013-05-30 040603
040604 Duas Igrejas Quick edit Valid 2013-05-30 040604
040605 Genísio Quick edit Valid 2013-05-30 040605
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?