How is journal quality best assessed? A comparison of impact factor quartiles and expert-based journal rating as predictors of the REF 2021 outcome - dataset

This dataset accompanies the journal submission 'How is journal quality best assessed? A comparison of impact factor quartiles and expert-based journal rating as predictors of the REF 2021 outcome - dataset'. It contains the data in CSV format, one file per unit of analysis (Units of Assessment = UoA, Higher Education Institutions = hei, and Subject Areas = subj). The format of the UoA file is as follows (the other two files are analogous, except they do not have field 'OECD FORD Main Field'): institution_name: name of higher education institution (e.g. university) unit_of_assessment_name: UoA name in REF (https://www.ref.ac.uk/panels/units-of-assessment/) OECD FORD Main Field: OECD main Field of Research and Development corresponding to UoA D outputs: number of D outputs = 'journal articles' Share of D: share of D outputs of the total number of outputs REF score: REF score (see paper for calculation details) of UoA JIF score: JIF score (see paper for calculation details) of UoA JCI score: JCI score (see paper for calculation details) of UoA JUFO score: JUFO score (see paper for calculation details) of UoA NPI score: NPI score (see paper for calculation details) of UoA REF level 4 share: share of D ouputs of UoA with REF level 4 rating JIFQ1 share: share of D ouputs of UoA in JIF Q1 journals JCIQ1share: share of D ouputs of UoA in JCI Q1 journals JUFO level 3 share: share of D ouputs of UoA in JUFO level 3 journals JUFO level 2+3 share: share of D ouputs of UoA in JUFO level 3 and 2 journals NPI level 2 share: share of D ouputs of UoA in NPI level 2 journals