CoM.4: Secondary Data Analysis

CoM.4: Secondary Data Analysis

Relevance:
In FenRIAM, secondary data analysis uses e.g. existing publications from regional or local administrations and scientific studies to analyse aspects of the regional context. It is also applied to obtain information about the SE impacts of comparable reference facilities from documents (annual reports, accountability reports, benchmarking reports, SE impact studies) released by such facilities or published by researchers investigating such facilities.

Description:
Secondary data analysis uses already existing data, in raw or analysed form, generated and analysed by previous studies and for different research purposes, which have the potential to serve the new investigative needs. Secondary data analysis is economical and widely applicable for collecting data from past periods. It is usually less time consuming than conducting an own, new study. Secondary data can be used for further analysis according to the research questions of the new study.

Procedure:

  • Identify studies that contain relevant data for the RI study
  • Select suitable studies for the current purposeĀ  (accessibility, time effort , ...) and ensure access
  • Review information, extract requested data, prepare excerpt
  • Verify data quality and comparability (if required)

Data sources (examples, not complete):

  • Reports from comparable reference RIs
  • Scientific publications on SE impacts from R&D
  • Publications of regional / local administrations (statistical yearbooks, population analyses, citizen satisfaction surveys, etc.)
  • Scientific publications about relevant aspects of the regional context (e.g. economic structure, R&D actors, labour force analyses, etc.)

Definitions:
None

References:
Standard textbooks