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Data management plans, as required by institutional or research funding agencies, are often very general and lack meaningful discipline-specific adaptations. The Research Data Alliance's Discipline-Specific Guidance for Data Management Plans Working Group aims to address this gap and develop appropriate guidance and recommendations. This survey, sent to researchers, data managers, and RDM-supporting infrastructures, serves as the basis. The online survey was conducted using the open-source software SoSciSurvey and was open for data collection from November 8, 2021 to January 14, 2022. The survey was divided into the following areas after a brief introduction on "Purpose of this survey" and "Use of the information you provide." Demographics Data Description and Collection Data Documentation & Quality Data Archiving, Publishing & Sharing After the Project Guidelines, Principles & Best Practices Follow-up interviews and group discussions The analysis of the online survey was focused on the four areas: Natural Sciences, Life Sciences, Humanities & Social Sciences, and Engineering. The results of the evaluation will be presented in a separate publication. The resulting data can be accessed here: DOI: 10.5281/zenodo.7391669 The data were evaluated using R. The code is published under the following DOI: 10.5281/zenodo.7443467 A more detailed analysis and description can be found in the paper "Discipline-specific Aspects in Data Management Planning" submitted to Data Science Journal (2022-12-15).