2019
DOI: 10.1017/aap.2019.36
|View full text |Cite
|
Sign up to set email alerts
|

Archaeological Analysis in the Information Age: Guidelines for Maximizing the Reach, Comprehensiveness, and Longevity of Data

Abstract: With the advent of the Web, increased emphasis on “research data management,” and innovations in reproducible research practices, scholars have more incentives and opportunities to document and disseminate their primary data. This article seeks to guide archaeologists in data sharing by highlighting recurring challenges in reusing archived data gleaned from observations on workflows and reanalysis efforts involving datasets published over the past 15 years by Open Context. Based on our findings, we propose spe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
40
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1
1

Relationship

0
10

Authors

Journals

citations
Cited by 32 publications
(41 citation statements)
references
References 31 publications
0
40
0
1
Order By: Relevance
“…This study provides an example of how to engage data quality in zooarchaeology (e.g., Wolverton 2013) as well as a template for the integration of morphological and biomolecular approaches (Steele 2015)—subjects that have been a key focus of discussion in archaeozoological circles in recent years (e.g., Jones and Gabe 2015; Kansa et al 2019; LeFebvre et al 2019; Nims and Butler 2019). Our identification of the Lehi horse as an early domestic rather than an Ice Age horse suggests that prior misclassifications may have influenced museum collection practices and the interpretation of archaeological and paleontological assemblages, leading to gaps in the faunal record of Native horsemanship.…”
Section: Discussionmentioning
confidence: 99%
“…This study provides an example of how to engage data quality in zooarchaeology (e.g., Wolverton 2013) as well as a template for the integration of morphological and biomolecular approaches (Steele 2015)—subjects that have been a key focus of discussion in archaeozoological circles in recent years (e.g., Jones and Gabe 2015; Kansa et al 2019; LeFebvre et al 2019; Nims and Butler 2019). Our identification of the Lehi horse as an early domestic rather than an Ice Age horse suggests that prior misclassifications may have influenced museum collection practices and the interpretation of archaeological and paleontological assemblages, leading to gaps in the faunal record of Native horsemanship.…”
Section: Discussionmentioning
confidence: 99%
“…This article aims to assess open science practices in this field by reviewing data and metadata sharing, and open access, in a sample of journal articles containing primary phytolith data from 16 prominent archaeological and palaeoecological journals (341 articles). It builds on similar studies conducted for zooarchaeology (Kansa et al 2020) and macro-botanical remains (Lodwick 2019). Data in this study was collected concerning data format, reusability of data, inclusion of phytolith morphotype pictures for identification purposes and a fully described method, use of the International code for phytolith nomenclature (ICPN) and whether the articles were open access.Steps forward are then suggested to use as a starting point for discussions in the wider phytolith and archaeological communities to develop guidelines for greater integration of open science practices.…”
mentioning
confidence: 89%
“…Collecting lidar datasets creates huge digital files with all the issues inherent to 3D data in archaeology (see Opitz and Herrmann 2018; Richards-Rissetto 2017; Richards-Rissetto and Schwerin 2017; Richards-Rissetto and Landau 2019), in addition to the issues of long-term storage and accessibility that files of this size entail (see Kansa et al 2014;Kansa et al 2019). Currently, there are three acceptable means of securing these datasets.…”
Section: Data Managementmentioning
confidence: 99%