You are here:
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 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
PC_ENT_IOT1 Percentage of enterprises using Internet of Things (as of 2021) Quick edit Valid 2023-05-10 PC_ENT_IOT1
PC_ENT_ISELL Percentage of the enterprises which sold over the internet over the last calendar year Quick edit Valid 2013-09-24 PC_ENT_ISELL
PC_ENT_ITSPRCR Percentage of enterprises which recruited or tried to recruit personnel for jobs requiring ICT specialist skills Quick edit Valid 2013-09-24 PC_ENT_ITSPRCR
PC_ENT_ITSPRCR2 Percentage of enterprises which recruited / tried to recruit personnel for jobs requiring ICT specialist skills (reduced comparability with 2007) Quick edit Valid 2013-09-24 PC_ENT_ITSPRCR2
PC_ENT_ITSPVAC Percentage of enterprises which had hard-to-fill vacancies for jobs requiring ICT specialist skills Quick edit Valid 2013-09-24 PC_ENT_ITSPVAC
PC_ENT_ITSPVAC2 Percentage of enterprises with hard-to-fill vacancies for jobs requiring ICT specialist skills (as of 2020) Quick edit Valid 2020-06-10 PC_ENT_ITSPVAC2
PC_ENT_ITUSRCR Percentage of enterprises which recruited or tried to recruit personnel for jobs requiring skills in the use of ICT Quick edit Valid 2013-09-24 PC_ENT_ITUSRCR
PC_ENT_IUSE Percentage of enterprises where persons employed have access to the internet Quick edit Valid 2020-06-10 PC_ENT_IUSE
PC_ENT_OBUY Percentage of enterprises which purchased over networks other than the internet over the last calendar year Quick edit Valid 2013-09-24 PC_ENT_OBUY
PC_ENT_OSELL Percentage of enterprises which sold over networks other than the internet over the last calendar year Quick edit Valid 2013-09-24 PC_ENT_OSELL
PC_ENT_P3D Percentage of enterprises with 3D printing Quick edit Valid 2018-08-01 PC_ENT_P3D
PC_ENT_PMD Percentage of enterprises providing to persons employed portable devices that allow a mobile connection to the internet Quick edit Valid 2013-09-24 PC_ENT_PMD
PC_ENT_PMD1 Percentage of enterprises providing to persons employed portable devices that allow a mobile connection to the internet (as of 2016) Quick edit Valid 2017-01-18 PC_ENT_PMD1
PC_ENT_PURCH Percentage of total purchases Quick edit Valid 2013-09-24 PC_ENT_PURCH
PC_ENT_RA Percentage of enterprises with persons employed having remote access Quick edit Valid 2023-05-24 PC_ENT_RA
PC_ENT_RBT Percentage of enterprises using industrial or service robots Quick edit Valid 2023-05-24 PC_ENT_RBT
PC_ENT_RBTS Percentage of enterprises using service robots Quick edit Valid 2018-08-01 PC_ENT_RBTS
PC_ENT_RFID Percentage of the enterprises using RFID Quick edit Valid 2013-09-24 PC_ENT_RFID
PC_ENT_RFID1 Percentage of enterprises using RFID (as of 2014) Quick edit Valid 2014-09-19 PC_ENT_RFID1
PC_ENT_RM Percentage of enterprises conducting remote meetings Quick edit Valid 2023-05-24 PC_ENT_RM
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?