Résumé en anglais du projet / Abstract in English
The community of indoor positioning research has identified the need for a paradigm shift towards more reproducible and open research. Over the last years, a slowly increasing tendency of openly sharing data and code has been observed in field, facilitating the establishment of baselines and benchmarks, assisting the reproducibility, verifiability, and comparability of scientific results. Nevertheless, accompanying research results with ORD still constitutes the exception rather than the rule in publications of the field. Moreover, since there exist no relevant standards or suggested guidelines, important aspects regarding the data format, the metadata and the overall documentation are typically decided individually by the authors. The data that might accompany scientific publications of the field usually do not undergo peer review as the published manuscripts do, and therefore the extent to which those data are well documented and reusable in practice relies on the rigor and the motivation of the authors. In this project, we aim at exploring the existing landscape of ORD within the Indoor Positioning community, specifying guidelines leveraging experiences of existing ORD practices of other fields, moving towards a community consensus on the ORD practices that the Indoor Positioning community can adopt. To achieve these goals, we will engage active researchers and other stakeholders with track record on ORD sharing, planning research synergies which will culminate in a public event of this community. The outcome of the project will be a clear step towards a consensus-based ORD standard for the Indoor Positioning community.
See also, a preliminary outcome that gave birth to the project : Towards reproducible indoor positioning research (position paper published in 2021).
The project was funded by the 1st call of "Track A: Explore projects" of the Swiss Open Research Data Grants (CHORD) program of swissuniversities ( https://www.swissuniversities.ch/en/topics/digitalisation/open-research-data/swiss-open-research-data-grants), and also has the support of HES-SO for securing the matching funds needed.