[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-84651-en":3,"doc-seo-84651-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":11,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},84651,3848291630094,"Emma Wilson","https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","Building the Ipseome: Large, Free, Open, Human Identity Data","Shared data accelerates scientific progress by enabling reuse, replication, and cumulative learning. This preprint introduces the ipseome, a free and open dataset focused on human identity. Built as reusable research infrastructure, it includes publicly accessible repositories, documented measurement procedures, and versioned files for longitudinal study. The work presents the motivation and ipseological principles, then details each dataset component and reports current progress toward building scalable personally expressed identity data.","arXiv :2607 .02488v 1 [ cs .DL] 2 Jul 2026  \nBUILDING THE IPSEOME: LARGE, FREE, OPEN, HUMAN IDENTITY DATA  \nA PREPRINT  \n Jason Jeffrey Jones∗  \nDepartment of Sociology and Institute for Advanced Computational Science  \nStony Brook University  \nStony Brook, New York, USA  \n[jason.j.jones@stonybrook.edu](jason.j.jones@stonybrook.edu)  \nJuly 3, 2026  \nABSTRACT  \nShared data accelerates scientific progress. Here, I describe the ipseome—the largest free and open dataset on the topic of human identity. The dataset is designed as reusable research infrastructure, with publicly accessible data repositories, documented measurement procedures, and versioned files for cumulative research on identity. First, I present the motivation for and the ipseological principles driving construction of the ipseome. Then, each component is introduced and discussed. Finally, I summarize the current state of progress toward the ultimate goal.  \nSporadically, individuals ponder a daunting question: Who am I?. Unfortunately for us, as scientists, they mostly do so lying in bed, unable to sleep at three in the morning; that makes observation of their responses inconvenient. In this work, I present data I have collected in which individuals provide self-descriptions not lost in the haze of insomnia.  \nWhen individuals describe their selves with language, I call this personally expressed identity (PEI) text (Jones, 2021, 2023) . It is personal: the authors are describing themselves. It is expressed: the authors’words are available where others may see them. It describes identity: the explicit purpose of the text is description of the author. The current project aims to document human selves as observed through personally expressed identity text.  \nHuman selves are fascinating and complex. Individuals vary over uncountable dimensions. Each self is a unique pattern evolving over time. They constantly invent, adopt, and reject expressions of identity. For those who share my fascination with human selves, I am building the ipseome—a public good for human identity research.  \nDespite their dynamism and variety, there is structure to human selves. I know there is structure because I have seen it, documented it. Some identities last longer than others (Vahabli and Jones, 2025) . Components of identity-such as politics (Rogers and Jones, 2021) and sexuality (Jones and Cisternino, 2024) -change in salience over time. Identities cluster in social networks (Maier et al., 2026; Tucker and Jones, 2023) . Residents of different nations vary in their patterns of self-expression (Handzlik et al., 2024) . In this past work, I have introduced and developed ipseology (Jones, 2023) .  \nIpseology is the study of ipseity-defined as selfhood, individuality and the elements of identity. I want to study ipseity at scale, so I have developed computational social science methods and compiled large datasets. In this manuscript, I introduce the resources necessary for a larger community of ipseology. It is my hope that every scholar of the human self will find here a path to answers they seek.  \n∗[https://jasonjones.ninja](https://jasonjones.ninja)  \n1 Ipseome: What is it? Why build it?  \n1.1 What is the ipseome?  \nAn-ome refers to a comprehensive catalog of the thing that precedes the suffix. The goal of the Human Genome Project was to identify all human genes. The proteome is the entire set of proteins produced by an organism. A connectome is a comprehensive map of synaptic connections in an organism’s nervous system. The Latin ipse has several meanings, all related to self. Thus, the ipseome refers to a comprehensive cataloging of self.  \nWe have a rich and complex understanding of the constituent parts of human cells (Manzoni et al., 2018) . In contrast, we have almost no data – and thus, a very poor model – of the elements that combine to form human selves. Omes are painstakingly-compiled systematic descriptions. I will construct the ipseome. The goal is to create a large, consis","cbCaiaBGAqnWj3Yg","https://ap.wps.com/l/cbCaiaBGAqnWj3Yg","pdf",257415,2,1,"English","en",105,"# Ipseome: What is it? 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