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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
CZ0523005 Tuří rybník Quick edit Valid 2018-01-19 CZ0523005
CZ0523006 Piletický a Librantický potok Quick edit Valid 2018-01-19 CZ0523006
CZ0523007 Dědina u Dobrušky Quick edit Valid 2018-01-19 CZ0523007
CZ0523009 Zámek v Kostelci nad Orlicí Quick edit Valid 2018-01-19 CZ0523009
CZ0523010 Na Plachtě Quick edit Valid 2018-01-19 CZ0523010
CZ0523011 Pod Rýzmburkem Quick edit Valid 2018-01-19 CZ0523011
CZ0523014 Vladivostok Quick edit Valid 2018-01-19 CZ0523014
CZ0523264 Bystřice Quick edit Valid 2018-01-19 CZ0523264
CZ0523265 Červená Třemešná - rybník Quick edit Valid 2018-01-19 CZ0523265
CZ0523266 Slatinná louka u Roudničky Quick edit Valid 2018-01-19 CZ0523266
CZ0523267 Zaorlicko Quick edit Valid 2018-01-19 CZ0523267
CZ0523268 Dubno - Česká Skalice Quick edit Valid 2018-01-19 CZ0523268
CZ0523273 Javorka a Cidlina - Sběř Quick edit Valid 2018-01-19 CZ0523273
CZ0523274 Libosad - obora Quick edit Valid 2018-01-19 CZ0523274
CZ0523275 Kačerov Quick edit Valid 2018-01-19 CZ0523275
CZ0523276 Kanice - lesní rybník Quick edit Valid 2018-01-19 CZ0523276
CZ0523277 Labe - Hostinné Quick edit Valid 2018-01-19 CZ0523277
CZ0523279 Lukavecký potok Quick edit Valid 2018-01-19 CZ0523279
CZ0523280 Metuje a Dřevíč Quick edit Valid 2018-01-19 CZ0523280
CZ0523282 Nadslav Quick edit Valid 2018-01-19 CZ0523282
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?