It is like the fire of a torch: If hundreds or thousands of people would come each with a torch to ignite by that flame, each torch they have ignited from the original one could be used to cook meals and keep a dark house bright, and yet the original torch would stay as bright as it used to be."-Shakyamuni Buddha, "The Sutra of Forty-two Chapters"There is growing appreciation of information sharing in science, because it allows reproducibility and boosts usability, thus benefiting the community and helping to advance knowledge [1].Nevertheless, to be helpful, information sharing needs to be efficient and that depends not only on consistently reporting raw data, but also methods, processed data, and model results.Whenever there are inconsistencies, issues arise.First, issues in reproducibility that arise due to the lack of methodological details reduce science trust.These details are crucial for assessing a study's reproducibility and reliability [2,3].Second, issues in the reuse of a study's raw and processed data that arise due to an incomplete report of them limit their reuse for making synthesis (sensu [4]).An incomplete reporting of model results also hinders synthesis work, which slows down the development of a field.Aiming to solve those issues and improve the reproducibility and usability of primary scientific research, general guidelines have been proposed in the light of the open science culture [5].Examples of such guidelines are the FAIR Guiding Principles (FAIR) [6] and the Transparency and Openness Promotion (TOP) [7].Another outstanding example is the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) [8].Extensions of those guidelines have also been elaborated to address issues faced in specialized fields.For example, in ecology, our field, there is a new extension known as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses in Ecology and Evolutionary Biology (PRISMA-EcoEvo) [9].Ecologists also use other specialized guidelines, such as the Tools for Transparency in Ecology and Evolution (TTEE), designed to help journals adopt TOP [10].Those existent guidelines and extensions are crucial as many ecologists rely on primary data for synthesis.However, despite those new roadmaps and tools, issues in reproducibility and usability are still common in ecological studies.We notice them all the time, as our research group specializes in synthesis.Our main topic of interest is ecological interactions between organisms of different species (a.k.a.species interactions), such as pollination and zoonosis.We have struggled to extract information from primary sources when compiling