GENERAL INFORMATION ........................... 1. Dataset title: Data_research_industry_teaching_SUPE 2. Authors: Samira El Gibari; Carmen Pérez-Esparrells; Trinidad Gómez Núñez; Francisco Ruiz de la Rúa. 3. Author contact information: Samira El Gibari, samel@uma.es METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: - The dataset was compiled from publicly available secondary sources, namely the Spanish Ministry of Science, Innovation and Universities (MICIU) and the IUNE Observatory. - Data were collected for a six-year period and organized according to the three main university missions considered in the study: teaching (knowledge transmission), research (knowledge generation), and industry income (knowledge transfer). The dataset includes the original indicators retrieved from the sources and their subsequent organization for multi-criteria aggregation and comparative analysis. 2. Data processing methods - The dataset was constructed by extracting the relevant indicators from MICIU and IUNE databases and compiling them into a unified spreadsheet structure. The processing steps included: Selection of mission-related indicators consistent across the six-year period. Harmonization of variable names and formats. Verification of consistency across years and institutions. Organization of the data by university and year. Preparation of the dataset for subsequent multi-criteria aggregation using the Multiple Reference Point method and cluster analysis. No imputation procedures were applied beyond standard consistency checks, as the dataset relies exclusively on officially published indicators. 3. Software or instruments needed to interpret the data: - The dataset was created using: Microsoft Excel (Microsoft 365 version). The deposited file is provided in .xlsx format, which can be opened using Microsoft Excel or any compatible open-source software (e.g., LibreOffice Calc). No restricted-access software is required to interpret the dataset. 4. Standards and calibration information, if appropriate: - The dataset is based on officially published indicators from MICIU and IUNE. No additional calibration procedures were applied by the authors beyond data harmonization and organization. 5. Environmental or experimental conditions: - Not applicable. The dataset consists of secondary data compiled from publicly available institutional sources. No experimental or environmental conditions influenced data generation. FILE OVERVIEW ---------------------- The dataset includes the following file: Data_research_industry_teaching_SUPE.xlsx (Excel format) The file contains structured data organized by university and year, including mission-related indicators used in the study. DATA-SPECIFIC INFORMATION: ------------------------------------------- 1. Name File: Data_research_industry_teaching_SUPE.xlsx 1.1. Variables list: The Excel file contains six worksheets, corresponding to the years 2016 to 2021. Each worksheet includes observations for the 47 on-site Spanish public universities considered in the study. For each university-year observation, the dataset reports performance indicators structured into six analytical dimensions, grouped under two core university missions (Teaching; Research & Industry). All indicators are consistently defined across the six-year period to ensure comparability over time. value labels: Unless otherwise specified, performance indicators are expressed either: As ratios per doctor (PhD holder), or As monetary income per doctor (euros per PhD holder), or As percentages or standardized rates according to official source definitions. All indicators are continuous and non-negative numerical variables derived from official sources (MICIU and IUNE). Identification Variables Variable name: University Description: Name of the Spanish public university. Units of measure or value labels: Text (institutional name). Variable name: Year Description: Reference year of the observation (worksheet identifier). Units of measure or value labels: Calendar year (2016–2021). Research & Industry Mission Dimension 1: Scientific Activity Publications_per_doctor International_collaboration_per_doctor Q1_publications_per_doctor Citations_per_doctor (All expressed as ratios per PhD holder.) Dimension 2: Competitiveness and Recognition National_projects_per_doctor European_projects_per_doctor Official_recognition_research_rate (Ratios per PhD holder or percentage rates according to source definition.) Dimension 3: Training Capacity Theses_defended_per_doctor Training_grants_and_research_contracts_per_doctor (Ratios per PhD holder or percentage rates according to source definition.) Dimension 4: Industry Incomes Income_R&D_contracts_per_doctor Income_technical_services_per_doctor Income_patent_licenses_per_doctor (Monetary value in euros per PhD holder.) Dimension 5: Academic Performance Success_rate Assessment_rate Return_rate Drop_out_rate Efficiency_rate (Ratios.) Dimension 6: Internationalization and Postgraduate Studies International_student_mobility_rate International_attractiveness_rate Transition_rate_graduate_to_postgraduate (Ratios.) 1.2. Codes or symbols: Not applicable. The dataset does not include specific codes, symbolic annotations, or shorthand markers. All variables are explicitly labelled and reported using numerical values or full textual institutional names. No additional coding system is used within the Excel file. 1.3. Special formats or abbreviations used: (Formatos especiales o abreviaturas utilizadas) SUPE: Spanish Public University System. MICIU: Spanish Ministry of Science, Innovation and Universities. IUNE: Observatory of Research Activity in Spanish Universities. Abbreviations of universities: The Excel file includes standardized abbreviations for the 47 Spanish public universities considered in the study. These abbreviations are used consistently across all years to identify institutions in a concise format. 2. Name File: (nombre del fichero) Data_research_industry_teaching_SUPE.xlsx MORE INFORMATION ------------------- This dataset was compiled and processed by the authors using publicly available information from the Spanish Ministry of Science, Innovation and Universities (MICIU) and the IUNE Observatory of Research Activity in Spanish Universities. The dataset supports the empirical analysis developed in the associated research article (currently under submission). It allows replication of the multi-criteria aggregation procedures and clustering analysis applied in the study. Users of this dataset should cite the corresponding research article once published. The dataset is provided for academic research purposes only. No confidential, personal, or sensitive data are included in this dataset.