The DIAMAS project investigates Institutional Publishing Service Providers (IPSP) in the broadest sense, with a special focus on those publishing initiatives that do not charge fees to authors or readers. To collect information on Institutional Publishing in the ERA, a survey was conducted among IPSPs between March-May 2024. This dataset contains aggregated data from the 685 valid responses to the DIAMAS survey on Institutional Publishing. The dataset supplements D2.3 Final IPSP landscape Report Institutional Publishing in the ERA: results from the DIAMAS survey. The data Basic aggregate tabular data Full individual survey responses are not being shared to prevent the easy identification of respondents (in line with conditions set out in the survey questionnaire). This dataset contains full tables with aggregate data for all questions from the survey, with the exception of free-text responses, from all 685 survey respondents. This includes, per question, overall totals and percentages for the answers given as well the breakdown by both IPSP-types: institutional publishers (IPs) and service providers (SPs). Tables at country level have not been shared, as cell values often turned out to be too low to prevent potential identification of respondents. The data is available in csv and docx formats, with csv files grouped and packaged into ZIP files. Metadata describing data type, question type, as well as question response rate, is available in csv format. The R code used to generate the aggregate tables is made available as well. Files included in this dataset survey_questions_data_description.csv - metadata describing data type, question type, as well as question response rate per survey question. tables_raw_all.zip - raw tables (csv format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option. Zip file contains 180 csv files. tables_raw_IP.zip - as tables_raw_all.zip, for responses from institutional publishers (IP) only. Zip file contains 180 csv files. tables_raw_SP.zip - as tables_raw_all.zip, for responses from service providers (SP) only. Zip file contains 170 csv files. tables_formatted_all.docx - formatted tables (docx format) with aggregated data per question for all respondents, with the exception of free-text responses. Questions with multiple answers have a table for each answer option. tables_formatted_IP.docx - as tables_formatted_all.docx, for responses from institutional publishers (IP) only. tables_formatted_SP.docx - as tables_formatted_all.docx, for responses from service providers (SP) only. DIAMAS_Tables_single.R - R script used to generate raw tables with aggregated data for all single response questions DIAMAS_Tables_multiple.R - R script used to generate raw tables with aggregated data for all multiple response questions DIAMAS_Tables_layout.R - R script used to generate document with formatted tables from raw tables with aggregated data DIAMAS Survey on Instititutional Publishing - data availability statement (pdf) All data are made available under a CC0 license.

Additional ways survey data is made available IPSP dataset This dataset contains basic data of Institutional Publishing Service Providers (IPSPs) that will become part of an IPSP Registry in June 2025. It holds data about 651 organisations that responded to the survey and agreed to be listed in the IPSP registry. It contains names, contact information and information on countries, supported languages, parent organisations, IPSP type, services offered, output types, disciplinary and coverage. Downloadable in csv format from: https://doi.org/10.5281/zenodo.8269906.Description is at: https://doi.org/10.5281/zenodo.8305139. Licence: CC0. Custom aggregate tabular data The DIAMAS project is open to community requests for performing quantitative analyses not available in the landscape report or the country reports. Until August 2025, and to the extent that capacity is available, quantitative analyses will be carried out and resulting aggregate data openly shared, without disclosing who requested the analysis. Any results will be downloadable in csv and xlsx formats from the DIAMAS Zenodo Community at https://zenodo.org/communities/diamasproject/.Please contact contact@diamasproject.eu for more information.