This study explores issues in using data generated by other analysts. Three researchers independently analyzed an orphaned, decades-old zooarchaeological dataset and then compared their analytical approaches and results. Although they took a similar initial approach to determine the dataset’s suitability for analysis, the three researchers generated markedly different interpretive conclusions. In examining how researchers use legacy data, this paper highlights interpretive issues, data integrity concerns, and data documentation needs. In order to meet these needs, we propose greater professional recognition for data dissemination, favoring models of “data publication” over “data sharing” or “data archiving.”