BenchPub

Publishing Dataset Guideline: gaps and trends in research data management in the ISPRS community

The availability of data is becoming more and more important in many fields of research, however freely available and easy to find datasets are still scarce. This creates the need for a common dataset publication principle to improve interoperability and reusability. The FAIR principle is able to help with these goals, as well as enables better searching and easier access for scientific data. In summary, we are developing a guideline based on the aforementioned FAIR principle to help with the publication of new datasets and standardize the processes. These processes include the selection of metadata, e.g. keywords, which are applied to newly released datasets, but can be adapted for older datasets as well, and the selection of a suitable dataset repository. Therefore, it is our goal to analyze the current metadata used in the ISPRS community and create a metadata scheme based on these findings. In addition, we aim to determine a suitable dataset repository for the specific use-case of datasets for the photogrammetry and remote sensing domain. Ultimately, it is our goal to provide the tools to make publishing as easy and uniformly as possible and, by that, also improve the discoverability of useful datasets for the ISPRS community.

Relationship between metadata, data repositories and the Bemeda search tool. Within this project a guideline for the publication of datasets is primarily being written, which is compliant with the FAIR principle
Relationship between metadata, data repositories and the Bemeda search tool. Within this project a guideline for the publication of datasets is primarily being written, which is compliant with the FAIR principle