Data sharing in biological anthropology
Bibliographic Data
| ID | 24314717 |
|---|---|
| Authors | C J Mulligan (0000-0002-4360-2402, Department of Anthropology University of Florida Gainesville Florida USA), Doug M Boyer (Department of Evolutionary Anthropology Duke University Durham North Carolina USA), T R Turner (0000-0001-8615-442X, Department of Anthropology University of Wisconsin‐Milwaukee Milwaukee Wisconsin USA), Eric Delson (Department of Anthropology, Lehman College City University of New York Bronx New York USA), W R Leonard (0000-0002-6233-604X, Department of Anthropology Northwestern University Evanston Illinois USA) |
| Year | 2022 |
| Volume | 178 |
| Issue | S74 |
| Pages | 26-53 |
| Publication date | 2022-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Biological Anthropology (JOURNAL) |
| Journal identifiers | ISSN: 2692-7691 • E-ISSN: 2692-7691 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajpa.24499 |
| OpenAlex | W4214576822 |
| Language | EN |
| Citations received | 19 |
| References cited | 85 |
Open data sharing democratizes science by making data more equitably available throughout the world. Furthermore, open data sharing improves the reproducibility and quality of research and enables new collaborations powered by the freely available data. Open data are defined as data that can be freely used, reused, and redistributed by anyone. For an interdisciplinary field like biological anthropology, data sharing is critical since one person cannot easily collect data across the domains relevant to our field. The goal of this paper is to encourage broader data sharing in our discipline by exploring the state of data sharing in the field of biological anthropology. Our paper is divided into four parts: the first section describes the benefits, challenges, and emerging solutions to open data sharing; the second section presents the results of our data archiving and sharing survey that was completed by over 700 researchers; the third section presents personal experiences of data sharing by the authors; and the fourth section discusses the strengths of different types of data repositories and provides a list of recommended data repositories.
data archiving · data repositories · Data sharing · Open data · Open Science · physical anthropology · Reproducibility · research collaboration · Academic Publishing and Open Access · Data Analysis and Archiving · Research Data Management Practices
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My New Year's resolution for 2020 is to try harder at sharing data
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| Citations per year | 4.75 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |