ORD Landscape and Cost Analysis Project ======================================= Autor: Markus von der Heyde - InformationsTechnologe (vdH-IT), ORCID: 0000-0002-6026-082X Version 1.0 - published in April 2019. In doubt refer to the main report of the project (DOI: 10.5281/zenodo.2643460) Abstract: In light of the SNSF’s decision to make sharing data from funded projects mandatory in 2016, this study examined the sharing and reuse behaviour of researchers in the Swiss community in 2018. Since it was to be conducted across all disciplines throughout Switzerland, the range of the questions was very broadly designed and questions from earlier international studies were used for comparability. Additionally, a second questionnaire addressed international repositories in order to learn about their perspectives and plans for future development. The results were analyzed using statistical methods and can be regarded as representative. Generally, the motivation and concerns for sharing data and reuse in the Swiss community are not different from other scientific communities. Differences in sharing and reuse behaviour are found according to the disciplines of the researchers, which were assessed using the bepress taxonomy. Different methods used by the researchers did not result in different sharing behaviour, but in where the data was shared. While the sharing is done equally in general repositories and smaller disciplinary repositories, of which a great number exist, the researchers prefer to use disciplinary repositories if they want to reuse data. Overall, about a third of the Swiss research community share data in repositories. The main reason for not sharing was researchers’ plans to publish their results first. Also, many participants claimed to have a different concept of data; while we tried to define terms carefully, apparently there is a need for more discipline-specific information and discussion on the topic. Future requirements for services from the Swiss community are not yet met by the international repositories' plans. Several recommendations on the future SNSF governance on data sharing are proposed to conclude the study. Please cite this work as: von der Heyde, M. (2019). Open Research Data: Landscape and cost analysis of data repositories currently used by the Swiss research community, and requirements for the future [Report to the SNSF]. Retrieved from https://doi.org/10.5281/zenodo.2643460 Connected data papers are: von der Heyde, M. (2019). Open Data Landscape: Repository Usage of the Swiss Research Community: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643430 von der Heyde, M. (2019). International Open Data Repository Survey: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643450 Connected data sets are: von der Heyde, M. (2019). Data from the Swiss Open Data Repository Landscape survey. Retrieved from https://doi.org/10.5281/zenodo.2643487 von der Heyde, M. (2019). Data from the International Open Data Repository Survey. Retrieved from https://doi.org/10.5281/zenodo.2643493 von der Heyde, M. (2019). Data and tools of the landscape and cost analysis of data repositories currently used by the Swiss research community. Retrieved from https://doi.org/10.5281/zenodo.2643495 Overview of supplementary material of the report: Size Date Time Filename -> Purpose 300 Apr 23 19:43 md5sum.txt -> contains checksums for integrity checks on single files 52819 Apr 23 18:53 Analyses-JMP.zip -> JMP script files for the analysis. The ZIP contains again a md5sum for integrity checks. 15773 Nov 5 15:39 MethodCatalogMapping.xlsx -> contains mapping of research methods in Microsoft Excel 10.0 format 394752 Nov 5 15:39 DisciplineCatalogMapping.xlsx -> contains mapping of disciplines from DFG, SNSF and bepress catalog in Microsoft Excel 10.0 format 89981 Nov 5 16:13 ORD_AllRepositories_DMP+RepositorySurvey.xlsx -> contains all information about mentioned repositories from the survey and mentioned in the DMPs of the SNSF applications. 2131 Apr 23 19:43 readme.txt -> documentation of the local directories content Overview of supplementary material of the Landscape survey: Size Date Time Filename -> Purpose 702 Apr 23 19:43 md5sum.txt -> contains checksums for integrity checks on single files 10356242 Nov 5 15:51 ORD_Landscape_Data+Analysis_export.xlsx -> quality checked data extended by additional analysis in Excel format 22896 Jan 8 13:21 ORD_Landscape_OverviewSurveyDesign.pdf -> overview picture of the survey design 4729381 Nov 5 15:50 ORD_Landscape_QualityControled_export.csv -> survey data after quality control; formated as comma seperated values ASCII 1161740 Nov 5 15:50 ORD_Landscape_QualityControled_export.xlsx -> survey data after quality control; Microsoft Excel 10.0 format 327928 Sep 13 2018 ORD_Landscape_Questionaire_SurveyMonkey.json -> Survey Monkey questionaire in JSON format (all options and texts). 4704350 Nov 5 15:48 ORD_Landscape_Raw_export.csv -> raw data export from survey monkey; formated as comma seperated values ASCII 1097833 Nov 5 15:47 ORD_Landscape_Raw_export.xlsx -> raw data export from survey monkey; Microsoft Excel 10.0 format 533004 Nov 5 16:34 ORD_Landscape_SurveyDesign-export.xlsx -> Scietific survey design of questionaire before implementation in Survey Monkey 2918757 Nov 5 16:16 ORD_Landscape_SurveyQuestionaire-export.pdf -> Structured survey pages with overview in condensed format 2120 Apr 23 19:43 readme.txt -> documentation of the local directories content Overview of supplementary material of the International Repository Survey: Size Date Time Filename -> Purpose 858 Apr 23 19:43 md5sum.txt -> contains checksums for integrity checks on single files 6903664 Nov 5 16:10 ORD_Repository_Data+Analysis_export.xlsx -> quality checked data extended by additional analysis; Microsoft Excel 10.0 format 23583 Jan 8 12:07 ORD_Repository_OverviewSurveyDesign.pdf -> overview picture of the survey design 536296 Nov 5 16:07 ORD_Repository_QualityControled_export.csv -> survey data after quality control; formated as comma seperated values ASCII 230384 Nov 5 16:06 ORD_Repository_QualityControled_export.xlsx -> survey data after quality control; Microsoft Excel 10.0 format 299714 Okt 23 21:43 ORD_Repository_Questionaire_SurveyMonkey.json -> Survey Monkey questionaire in JSON format (all options and texts). 480279 Nov 5 16:09 ORD_Repository_RawCoded_export.csv -> raw data from survey monkey with coded options; formated as comma seperated values ASCII 200381 Nov 5 16:08 ORD_Repository_RawCoded_export.xlsx -> raw data from survey monkey with coded options; Microsoft Excel 10.0 format 696595 Nov 5 16:10 ORD_Repository_RawText_export.csv -> raw data from survey monkey with text markers; formated as comma seperated values ASCII 217356 Nov 5 16:10 ORD_Repository_RawText_export.xlsx -> raw data from survey monkey with text markers; Microsoft Excel 10.0 format 283184 Nov 5 16:37 ORD_Repository_SurveyDesign-export.xlsx -> Scietific survey design of questionaire before implementation in Survey Monkey 2913335 Nov 5 16:24 ORD_Repository_SurveyQuestionaire-export.pdf -> Structured survey pages with overview in condensed format 2460 Apr 23 19:43 readme.txt -> documentation of the local directories content