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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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

707 concepts found, displaying 121 to 140.First345678910Last
Id Label Status Status Modified Notation
I06 Index, 2006=100 Quick edit Valid 2013-09-24 I06
I08 Index, 2008=100 Quick edit Valid 2013-09-24 I08
I09 Index, 2009=100 Quick edit Valid 2013-09-24 I09
I10 Index, 2010=100 Quick edit Valid 2013-09-24 I10
I10_A_AVG Annual average index, 2010=100 Quick edit Valid 2023-05-10 I10_A_AVG
I10_HW Index, 2010=100 (based on hours worked) Quick edit Valid 2014-07-09 I10_HW
I10_JOB Index, 2010=100 (based on jobs) Quick edit Valid 2014-07-09 I10_JOB
I10_PER Index, 2010=100 (based on persons) Quick edit Valid 2014-07-09 I10_PER
I10_Q Quarterly index, 2010=100 Quick edit Valid 2023-05-10 I10_Q
I11-13_AVG Index, 2011-2013 average =100 Quick edit Valid 2020-07-29 I11-13_AVG
I12 Index, 2012=100 Quick edit Valid 2015-06-12 I12
I13 Index, 2013=100 Quick edit Valid 2020-10-21 I13
I15 Index, 2015=100 Quick edit Valid 2016-02-10 I15
I15-17_AVG Index, 2015-2017 average =100 Quick edit Valid 2020-07-29 I15-17_AVG
I15_A_AVG Annual average index, 2015=100 Quick edit Valid 2023-05-10 I15_A_AVG
I15_HW Index, 2015=100 (based on hours worked) Quick edit Valid 2019-08-28 I15_HW
I15_JOB Index, 2015=100 (based on jobs) Quick edit Valid 2019-08-28 I15_JOB
I15_NAC_CP Index, 2015=100, national currency, current prices Quick edit Valid 2017-08-31 I15_NAC_CP
I15_NSA Index, 2015=100 (NSA) Quick edit Valid 2017-07-19 I15_NSA
I15_PER Index, 2015=100 (based on persons) Quick edit Valid 2019-08-28 I15_PER
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?