Dear data cruchers: We are excited to draw your attention to our upcoming session at Goldschmidt 2025 (6-11 July): Theme 14b: Geoscientists’ Little Helpers – small software tools with big impact (Part II) Geochemical data has been expanding rapidly in recent years. Are you grappling with processing and managing the vast amounts of data collected from the lab? If so, this session might be perfect for you! Our session focuses on custom tools—including code snippets, scripts, spreadsheets, and sometimes even full-fledged programs—that optimize workflows, compile data, reduce workloads, and accelerate daily tasks. Contributions to FAIR data management are equally welcomed. Abstract Submission Deadline: February 26, 2025 Free of charge for submissions to our session You can submit this as a second abstract! Please don’t hesitate to submit your abstract and make your in-house or open tools shine. You can submit your abstract at: https://conf.goldschmidt.info/goldschmidt/2025/cfp.cgi <https://conf.goldschmidt.info/goldschmidt/2025/cfp.cgi>. We are looking forward to meeting you in Prague. Best wishes, Jie Xu, Thomas Rose, Miguel Bernecker Session Description (https://conf.goldschmidt.info/goldschmidt/2025/meetingapp.cgi/Session/7187 <https://conf.goldschmidt.info/goldschmidt/2025/meetingapp.cgi/Session/7187>): In today’s era of rapidly expanding empirical data and advanced analytics, data processing tools play an integral role in every geoscientist’s work. The development and implementation of novel (semi-)automated analytical setups have significantly accelerated data production, enabling deeper insights into the Earth's system. These setups, along with the growing focus on FAIR (Findable, Accessible, Interoperable, Reusable) data policies from funding agencies, emphasize the importance of data reusability and sharing. As a result, many researchers create their own custom tools, including code snippets, scripts, spreadsheets, and sometimes even full-fledged programs that optimize workflows, compile data, reduce workload, and speed up daily tasks. These self-made tools are often crucial to the research process, but tend to remain hidden behind the final outcomes of the research they support and rarely receive the recognition they deserve. We again aim to shine a spotlight on these valuable scientific tools, whether they are at the prototype stage or fully developed. We welcome contributions that address: - scientific tools/apps/software in any coding language and stage of development - novel data reduction/processing algorithms - laboratory automation/digitalization projects - contributions to FAIR data management and aim to raise the overall awareness of this topic in our scientific field, facilitate sharing and foster collaborations. We prioritize open-source projects and discourage the submission of blackbox tools.