Data Set from the DMP survey and interviews - intermediate results

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This is the data set for a series of interviews in chemistry on data management (plans) and presents interim results. A more detailed analysis and description can be found in the paper "Road to a Chemistry-specific Data Management Plan" submitted to Data Science Journal (2022-12-15). The interview series will continue in 2023 and final results will be published later in 2023. The aim of the conducted interview series is the enrichment of the online survey data from the RDA WG Discipline-specific Guidance for DMP and in a second step the development of a chemistry-specific data management plan template. For this purpose, the current status of data management as well as information about the workflows in the various chemical disciplines were requested in a personal interview with 22 participants so far. All the gathered information and examples will be used to develop a DMP template or guide in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of RDM in chemistry. Possible strategies for implementation are also discussed.

Authors 4

1. Daniela Hausen Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

2. Ann-Christin Andres

   Johannes Gutenberg University Mainz

   Affiliation as printed

   ohannes Gutenberg-University Mainz

3. Jochen Ortmeyer Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

4. Sonja Herres‐Pawlis Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University