This ssep3_user_geo-readme.txt file was generated on 2022-09-15 by Radoslaw Panczak (@RPanczak) ------------------- GENERAL INFORMATION ------------------- 1. Title of dataset: Swiss Neighbourhood Index of Socioeconomic Position (Swiss-SEP) 2. Contributor information: Name: Radoslaw Panczak Role/Function: Principal investigator Institution: Institute of Social and Preventive Medicine (ISPM), the University of Bern, Bern, Switzerland Name: Claudia Berlin Role/Function: Data Collector Institution: Institute of Social and Preventive Medicine (ISPM), the University of Bern, Bern, Switzerland Name: Marieke Voorpostel Role/Function: Data Collector Institution: Swiss Centre of Expertise in the Social Sciences (FORS), Lausanne, Switzerland Name: Marcel Zwahlen Role/Function: Project leader, dataset contact person Institution: Institute of Social and Preventive Medicine (ISPM), the University of Bern, Bern, Switzerland Email: marcel.zwahlen@ispm.unibe.ch Name: Matthias Egger Role/Function: Project leader, dataset contact person Institution: Institute of Social and Preventive Medicine (ISPM), the University of Bern, Bern, Switzerland Address: Mittelstrasse 43, University of Bern, 3012 Bern, Switzerland Email: matthias.egger@ispm.unibe.ch 3. Date of data collection: 2000, 2012-2015 4. Geographic location of data collection: Switzerland 5. Keywords describing the subject of your dataset: Switzerland, socioeconomic position, social inequalities in health, mortality 6. Information about funding sources that supported the collection of the data: Funding agency name: Swiss National Science Foundation Grant number: 3347CO-108806, 33CS30_134273, 33CS30_148415, 189498 ------------------- SHARING/ACCESS INFORMATION ------------------- 1. Licenses/restrictions placed on the data: CC-BY-NC-SA https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode 2. Links to publications that cite or use the data: https://doi.org/10.1136/jech-2011-200699 5. Was data derived from another source? yes. Swiss Census 2000 Structural Surveys 2012-2015 Federal Register of Buildings and Dwellings swissTLM3D topographic model 6. Recommended citation for this dataset: Panczak R, Berlin C, Voorpostel M, Zwahlen M, Egger M (2022) The Swiss Neighbourhood Index of Socioeconomic Position: Update and Re-validation. Swiss Medical Weekly XXX, DOI:XXX --------------------- DATA & FILE OVERVIEW --------------------- 1. File List: Filename: ssep3_user_geo.csv File format: comma-separated values File encoding : utf-8 Short description: list of building coordinates with associated values of the Swiss-SEP indices Date of creation: 2022-09-15 -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Methods for processing the data: Raw data were processed using Stata v15 & R version 4.2.1. Code is available at https://github.com/RPanczak/SNC_Swiss-SEP2 ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: ssep3_user_geo.csv ----------------------------------------- 1. Number of variables: 15 2. Number of cases/rows: 1,527,173 3. Variable List gisid Spatial ID geox X coordinate geoy Y coordinate ssep1 Swiss-SEP 1.0 index ssep1_t Swiss-SEP 1.0 - tertiles ssep1_q Swiss-SEP 1.0 - quintiles ssep1_d Swiss-SEP 1.0 - deciles ssep2 Swiss-SEP 2.0 index ssep2_t Swiss-SEP 2.0 - tertiles ssep2_q Swiss-SEP 2.0 - quintiles ssep2_d Swiss-SEP 2.0 - deciles ssep3 Swiss-SEP 3.0 index ssep3_t Swiss-SEP 3.0 - tertiles ssep3_q Swiss-SEP 3.0 - quintiles ssep3_d Swiss-SEP 3.0 - deciles 4. Missing data codes: no missing data 5. Specialised formats of other abbreviations used * gisid variable is an unique ID grouping small amount of buildings with the same coordinates * geox & geoy coordinates are given in CH1903+ / LV95 Swiss coordinate system (EPSG:2056, https://en.wikipedia.org/wiki/Swiss_coordinate_system)