FAIR-GNSS annual report on activities in all work packages
A short report about the project's activties from March 2021 to March 2022.
A short report about the project's activties from March 2021 to March 2022.
We have drafted a proposal for standardized metadata (GNSS-DCAT-AP) to be attached to GNSS RINEX data when they are e.g. downloaded from a GNSS data repository using web services. The proposal and its documentation are publicly available on a GitHub repository.
An occasion for an overview on the status of the project. Discussions with the members of the follow-up committee focused on the overall progress and on the work on GNSS data preparation (data inventory, restructuring of the databases, etc.) and the proposals for GNSS metadata.
The text of the FAIR-GNSS proposal for GNSS station metadata (extended GeodesyML) is now under discussion with the GeodesyML task force of the IGS infrastructure committee and is publicly available in a GitHub repository of ROB's GNSS team.
A report on the process of selecting metadata standard(s) for GNSS data, containg the proposals for GNSS station metadata (extended GeodesyML) and GNSS RINEX files metadata (extended DCAT-AP).
As a preliminary step in the process of selecting metadata standard(s) for GNSS data, an inventory of the data hosted in ROB's repositories has been created to structure the data information and identify potential and relevant metadata items.
Internal discussions about DOI (granularity) and system handles (e.g. RDA’s WG “PID for instruments”) for GNSS data and meeting with K. Elger, chair of the GGOS WG on DOIs
The FAIR-GNSS project proposal has been submitted as a bottom-up proposal for BELSPO BRAIN-be 2.0 Pillar 2 "Heritage Science" call.
As funders and research policy makers are progressively asking to turn or make data FAIR, there are specific challenges when dealing with GNSS data. At the EGU General Assembly 2020, our team at ROB discussed about GNSS station metadata revisited in response to evolving needs and challenges and open problems when applying FAIR principles to GNSS data