Historic data, a valuable resource for understanding climate changes, is often stored in analog formats, posing challenges in locating, interpreting, and adapting it for modern research. Scientists, librarians, archivists, and data managers from several US institutions are working on projects aimed at gathering, describing, and transforming historic data. Next steps include looking for other institutions to collaborate with on methodologies and strategies on working with analog data. The projects involved intricate processes such as locating, describing, and connecting with individuals knowledgeable about the data's collection. Despite the labor-intensive nature, the use of contemporary technology helped with compiling data sets according to FAIR principles. Surveys and interviews underscored researchers' concerns about the potential loss of historic data, revealing a lack of established best practices and the inherent challenges associated with working with such data. Collaborative efforts involving librarians, archivists, and data managers played a pivotal role in aiding individual researchers in producing accessible and reusable datasets. The urgent need to raise awareness about the value of historic data was underscored by its significance in environmental research and other disciplines, coupled with the imminent risk of loss as researchers retire, uncertain about preserving historic data in both analog and electronic formats. As historic data gains recognition in the scientific landscape, it becomes essential to consider the broader context. Challenges associated with analog or print format data were explored, emphasizing the importance of thoughtful approaches to locate, describe, and transform data for current use, future research, and preservation. This poster delves into recent life sciences efforts at several organizations, encompassing general historic data initiatives. The activities ranged from interviews, surveys, and literature reviews to identifying, locating, organizing, describing, and reformatting datasets, contributing to an understanding and utilization of historic data in contemporary environmental research.