Authors: Correia, Ricardo; Ladle, Richard;Jaric, Ivan;Malhado, Ana;Mittermeier, John;Roll, Uri;Soriano-Redondo, Andrea;Verissimo, Diogo;Fink, Christoph;Hausmann, Anna;

The Information Age provides new opportunities to better understand human–nature interactions as many aspects of daily life are recorded in a variety of digital formats. Conservation culturomics aims to take advantage of digital data sources and methods to study human–nature interactions and thus to provide new tools for studying conservation at relevant temporal and spatial scales. Still, technical challenges associated with the identification, access, and analysis of relevant data hamper the wider adoption of culturomics methods. To help overcome these barriers, a conservation culturomics research framework is outlined that addresses data acquisition, analysis, and inherent biases. The main sources of culturomic data include web pages, social media, and other digital platforms from which metrics of content and engagement can be obtained. Obtaining raw data from these platforms is usually desirable but requires careful consideration of how to access, store, and prepare the data for analysis. Methods for data analysis include network approaches to explore connections between topics, time-series analysis for temporal data, and spatial modeling to highlight spatial patterns. Outstanding challenges associated with culturomics research include issues of interdisciplinarity, ethics, data biases, and validation. The framework provides practical guidance that will facilitate the wider adoption of culturomics approaches for conservation.