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R Datasets of the Open Repair Alliance (ORA).

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Repair Data

I took data from the website of the Open Repair Alliance. The structure of the data follows the technical documentation of the Open Repair Data Standard (ORDS Version 0.21).

The initial objective of the Open Repair Alliance is to help organizations involved in community repair to harmonize the way we collect and share information about successes and challenges in repairing small electrical and consumer electronic devices, to increase the visibility and the impact of the work we all do.

The value of the last column of the following table (R data types) is set by me according to the Type description in the documentation of the Open Repair Data Standard (ORDS Version 0.21).

Title Field name Type R Data Type
ID id Unique identifier from the partner organisation. Does not have to be unique across all partner data. character
Partner category partner_product_category Option from partner codelist. character
Product category product_category Option from ORDS product category codelist. factor
Brand brand Free text. character
Year of manufacture year_of_manufacture Year. YYYY. character*
Problem problem Free text. Personal data should be removed, e.g. email addresses. character
Repair status repair_status Option from ORDS repair status codelist. factor
Repair barrier repair_barrier_if_end_of_life Option from ORDS repair barrier codelist. Optional. Only relevant where repair_status = "End of life". factor
Group identifier group_identifier String. Unique. A unique identifier across all partners that can identify the group responsible for the repair. factor
Event date event_date Date. YYYY-MM-DD format. The date of the repair event that the repair took place at. Date
Data provider data_provider Option from ORDS codelist. Name of partner organisation. factor
Country country String. 3 letter ISO code, e.g. “GBR”. factor
Record date record_date Date. YYYY-MM-DD format. The date that the record was last updated. Date
  • Because of many NA's written as "????" I chose to import this column as "character".

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