Latvian Council of Science and Latvian researchers’ community on the way to OpenData and FAIR with ARGOS
Latvian Open Science Strategy 2021-2027: Advancing Research Performance through Argos DMP platform
Overview
Challenge & Scenario
Solution & Implementation
Impact
Related resources
In depth description
Details
In 2022, the Latvian Open Science Strategy (2021-2027) was accepted with the goal of advancing the national research landscape according to European Open Science standards. The strategy is centered around three pillars that promote Open Science in scientific publications, FAIR principles in research data and Citizen science. Among other initiatives, it emphasises efficient research data management for all state-funded projects through the implementation of data management plans (DMPs).
The Latvian Research Council (LCS) formally adopted ARGOS in February 2024. The partnership followed a three-year consultation process during which the following actions needed to be addressed for LCS to get the maximum out of ARGOS and OpenAIRE services:
- LCS projects to be included in the OpenAIRE Graph so they become automatically visible on ARGOS and their projects sorted under LCS funding organisation when selected by LCS affiliated researchers.
- LCS Monitoring Dashboard to keep track of national Open Science policy implementation and evolution of practices.
- National Dataverse repository to become interoperable with OpenAIRE, following the OpenAIRE Guidelines so that prefilling and referencing in DMPs is possible through ARGOS. [still in progress]
- LCS blueprint and template to be developed on ARGOS in compliance with the DMP Common Standard and in accordance with the national policy.
All aforementioned developments show how ARGOS is connected to the Latvian research ecosystem supporting DMPs through connections with local RDM services. Today, the LCS blueprint includes only the FARP DMP template aiming to extend to SRP specificities in due time. This enabled the LCS to support researchers from over 70 state-funded projects to adhere to best RDM practices while writing their DMP.
The LCS blueprint provides access to crucial project information such as the project name, title, description, and funding organization, ensuring easy identification. Meanwhile, the LCS FARP template serves as a cohesive template for dataset descriptions in both fundamental and applied research projects.
Work continues to develop the DMP template for SRP projects as well as to offer the FARP template in the Latvian language. Moreover, LCS will gather feedback from Latvian researchers involved in crafting DMPs and publishing Open Data which will help improve current practices and ARGOS configurations.