Data Management Plan

The researcher fully supports open-access publishing as can be seen from the researcher’s recent publication record. Preprint articles will be also uploaded to open-access preprint repository like arXiv and BioRxiv. In addition, the research results will be presented at high-quality international conferences and workshops (such as FNANO, NANTECH, etc.). The data related to the published materials will be made available for example in Zenodo, in IDA Storage Service or in B2SHARE repositories under the Creative Commons license CC BY 4.0 to maximize the re-use of the data.All data will be stored on the group wiki page and institutional servers at KI and will be backed up by the University IT Services. If needed, cloud storages services will be used for storing nonconfidential data. Standardized protocols for the methods and treatments with clear instructions will be prepared, if not existing already, to ensure the repeatability. For quantitative data, sufficient repetitions will be made to ensure the consistency and quality. The folder structure will separate the different sample sets. The filenames will contain all descriptive and necessary information (the date at which the data was collected and, an abbreviation for the respective method or treatment applied, sample type) so that it will be easy to recognize them afterward. Datasets will be documented with the descriptive metadata (e.g., title, year of publication, dataset’s creator, description, keywords, etc.) which ensures understandability and findability of the data in the future. If needed, README files will be created for datasets to ascertain their re-usability, reading and interpretation.