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Data management and analysis

Methodological service for EcolChange – WP 2.4. Data management and analysis

EcolChange will follow best practices to develop common data management and analysis plans according to Open Data principles. A transparent analysis is especially important for ecological data that are often statistically complex due to multicollinearity, spatial and phylogenetic autocorrelation, and highly fragmented structure. Statistical expertise is necessary to ensure the quality of analytical approaches.

EcolChange offers statistical consultancy by staff members experienced in specific fields of data management and analysis. The consultancy is coordinated by PhD Guillermo Bueno who is working at the plant ecology group, University of Tartu. He will either act himself as an adviser or will establish contact with another colleague who is specifically trained in a given field. We expect the adviser will be given thanks in the acknowledgement of the scientific paper when appropriate. In the cases where more extensive collaboration is needed for finding an appropriate statistical solution, we expect that the adviser will be incorporated in the scientific paper as a coauthor.

Methodological service will also organize training for research staff and PhD students, addressing important issues of data management and statistical analysis.

All EcolChange members interested in consultancy in statistics and data management are kindly requested to contact Guillermo Bueno carlos.guillermo.bueno.gonzalez@ut.ee.