Latvian Data Curators Network

2024-09-27 online

This Latvian Data Curator Network presentation focused on the critical role of data sharing and management in improving research visibility and career advancement.

The session highlighted the importance of organizing data through standardized folder structures, implementing version control, and maintaining thorough documentation.

Key themes included adopting FAIR data principles (Findable, Accessible, Interoperable, and Reusable) and practical techniques for ensuring that data can be shared and reused within the scientific community.

The presentation also emphasized data curation's impact on improving research outcomes and visibility.

Slides

Available here

Research Data Plan Tools

• DMPonline

• DMP Tool

• ARGOS (Horizon compliant)

Sites

RSU Research Data Management

Packages

• dataMaid for Codebook creation

• here simplify file paths and allow replication

Courses

• Data Stewardship – Module 1: MOOC

• Research Data Management playlist youtube

Papers cited

Belliard, F., Maineri, A.M., Plomp, E., Ramos Padilla, A.F., Sun, J., Zare Jeddi, M., 2023. Ten simple rules for starting FAIR discussions in your community. PLoS Comput. Biol. 19, e1011668.

Sofi-Mahmudi, A., Raittio, E., Uribe, S.E., 2023. Transparency of COVID-19-related research: A meta-research study. PLoS One 18, e0288406.

Uribe, S.E., Sofi-Mahmudi, A., Raittio, E., Maldupa, I., Vilne, B., 2022. Dental research data availability and quality according to the FAIR principles. J. Dent. Res. 101, 1307–1313.

Boks cited

The Turing Way handbook to reproducible, ethical and collaborative data science.

Data Management in Large-Scale Education Research, by Crystal Lewis