Publication on Data Reuse, Journal of Archaeological Method and Theory

We’re delighted to announce the publication of “Other People’s Data: A Demonstration of the Imperative of Publishing Primary Data” in the Journal of Archaeological Method and Theory. The lead author is Prof. Levent Atici (UNLV), a member of the Open Context Editorial Board. The “online first” version of the paper can be accessed here. The authors will also share an Open Access pre-print (allowed by Springer) of the final version of the paper in the coming week.

This paper is an outcome of an AAI project funded by an NEH/IMLS Advancing Knowledge grant exploring user needs in archaeological data sharing. This paper’s co-authors (Levent Atici, Justin Lev-Tov, Sarah Whitcher Kansa and Eric Kansa) all participated in the NEH/IMLS study. They recognized that “data reuse” in archaeology is an area that is in critical need of more exploration. This paper reflects the co-authors’ attempts to grapple with this topic by documenting their reuse of data collected by another researcher. The results of their collaborative study highlight implications for data sharing, archiving and publishing programs.

Abstract: 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.”

One thought on “Publication on Data Reuse, Journal of Archaeological Method and Theory

  1. Yes!!! I totally agree with the proposal! We should systematically create a database archive for future researchers….

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