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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
I15_Q Quarterly index, 2015=100 Quick edit Valid 2023-05-10 I15_Q
I16 Index, 2016=100 Quick edit Valid 2019-03-27 I16
I18 Index, 2018=100 Quick edit Valid 2023-05-10 I18
I20 Index, 2020=100 Quick edit Valid 2023-05-10 I20
I2010 Index, 2010=100 Quick edit Valid 2013-09-24 I2010
I2010_NSA Index, 2010=100 (NSA) Quick edit Valid 2013-09-24 I2010_NSA
I2015_NSA Index, 2015=100 (NSA) Quick edit Valid 2018-02-28 I2015_NSA
I2015_SCA Index, 2015=100 (SCA) Quick edit Valid 2018-02-28 I2015_SCA
I21 Index, 2021=100 Quick edit Valid 2023-05-10 I21
I90 Index, 1990=100 Quick edit Valid 2013-09-24 I90
I91 Index, 1991=100 Quick edit Valid 2023-05-10 I91
I95 Index, 1995=100 Quick edit Valid 2013-09-24 I95
I96 Index, 1996=100 Quick edit Valid 2013-09-24 I96
I98 Index, 1998=100 Quick edit Valid 2020-10-28 I98
I99 Index, 1999=100 Quick edit Valid 2013-09-24 I99
INX Index Quick edit Valid 2014-10-28 INX
INX_A_AVG Annual average index Quick edit Valid 2014-12-16 INX_A_AVG
INX_Q Quarterly index Quick edit Valid 2014-12-16 INX_Q
IVOL-NSA Volume index (2015=100) - not seasonally adjusted Quick edit Valid 2013-09-24 IVOL-NSA
IVOL-SA Volume index (2015=100) - seasonally and working day adjusted Quick edit Valid 2013-09-24 IVOL-SA
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?