Other People’s Data: A Demonstration of the Imperative of Publishing Primary Data

Atici, Levent; Kansa, Sarah Whitcher; Lev-Tov, Justin; Kansa, Eric

doi:10.1007/s10816-012-9132-9

Cited by 105 publications

(103 citation statements)

References 20 publications

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“…Even more importantly, some data cannot be recollected or reproduced. Therefore, adequate documentation of research data is an essential part of RDM for future sharing and reuse (Atici et al 2013, 670, Chavan and Penev 2011, 2, Costello 2009, 421, Kansa and Kansa 2013, 4, Kratz and Strasser 2014, 4, Niu and Hedstrom 2008, 4, Rees 2010). …”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of characteristics and structures embedded in data papers

Chen

2017

libellarium

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Research data or datasets can be regarded as a catalyst to inspire new research by repurposing or combining existing research data, and grant applicants have been requested by funding institutions to include a data management plan as part of research project proposals. In addition to the metadata approach, data papers may mirror the scientific publication model as an alternative means of description and management of research data. However, there is not a common standard for all data papers across various communities. This study aimed to build up a common structural framework to investigate the embedded characteristics and structures of the content of data papers by using a content analysis approach, and 26 data journals from 16 publishers were selected as subject in this study. This study has proposed a common framework and further embodied a concept map (Candela et al. 2015) into more concrete components for the structure of data papers.

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Section: Literature Reviewmentioning

confidence: 99%

An analysis of characteristics and structures embedded in data papers

Chen

2017

libellarium

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“…The use of modern digital media has the power to do so Marwick et al 2017;Wilson and Edwards 2015). Our baseline assumption is that we need to record data more consistently in the field and to release them in full as structured open data since archaeological excavations are a public good that should be shared, and the primary data from the excavation are necessary for making advancement in the discipline (Atici et al 2013;Kansa and Whitcher-Kansa 2013). Scientific elaboration is hampered not only by limited access to research data but also by the fact that, in most cases, the data are not ready for digital processing.…”

Section: Going Openmentioning

confidence: 99%

NEARCHOS. Networked Archaeological Open Science: Advances in Archaeology Through Field Analytics and Scientific Community Sharing

et al. 2017

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The full release and circulation of excavation results often takes decades, thus slowing down progress in archaeology to a degree not in keeping with other scientific fields. The nonconformity of released data for digital processing also requires vast and costly data input and adaptation. Archaeology should face the cognitive challenges posed by digital environments, changing in scope and rhythm. We advocate the adoption of a synergy between recording techniques, field analytics, and a collaborative approach to create a new epistemological perspective, one in which research questions are constantly redefined through real-time, collaborative analysis of data as they are collected and/or searched for in an excavation. Since new questions are defined in science discourse after previous results have been disseminated and discussed within the scientific community, sharing evidence in remote with colleagues, both in the process of field collection and subsequent study, will be a key innovative feature, allowing a complex and real-time distant interaction with the scholarly community and leading to more rapid improvements in research agendas and queries.

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“…The sheer volume of burial data available, and questions of how to extract and ultimately analyse these data in a way which produces valuable information, is what lies at the heart of this project. As Atici et al (2012) have suggested, it is pivotal that we, as archaeologists, develop strategies for best use of "legacy data" which are transparent and ultimately transferable. By necessity, the approaches to this problem for Britain and the Levant have had to be different (Table 2 and see Figure 1a 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 number of recordable individuals involved may be somewhere in the region of 100,000, whilst the number of mortuary sites may be around 10,000.…”

Section: Insert Table 1 Herementioning

confidence: 99%

Making the Dead Visible: Problems and Solutions for “Big” Picture Approaches to the Past, and Dealing with Large “Mortuary” Datasets

Bradbury

Davies

Jay

et al. 2015

J Archaeol Method Theory

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The nal publication is available at Springer via http://dx.doi.org/10.1007/s10816-015-9251-1. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Journal of Archaeological Method and TheoryMaking the Dead Visible: Problems and solutions for "big" picture approaches to the past, and dealing with large "mortuary" datasetsFull Title: Making the Dead Visible: Problems and solutions for "big" picture approaches to the past, and dealing with large "mortuary" datasets AbstractThere can be few 'bigger' questions than the nature and development of human experience and selfawareness, and few better ways to study it than through the changing treatment of the dead over time.Funded by the John Templeton Foundation the 'Invisible Dead' project (Durham University) is exploring diachronic changes in mortuary practices across two regions; Britain and the Levant. In doing so, it uses archaeology as a way to approach fundamental questions about the human condition.This paper explores the principal difficulties faced during the construction of a database for this project and their wider relevance for the development of robust and successful methods for the study of large "mortuary" datasets in the future. It discusses the issues and biases identified within the mortuary record and how the project has sought to mitigate some of these. By adopting a flexible and ultimately expandable approach to data entry and analysis, value can be added to legacy datasets and "grey" literature, allowing us to make comparisons between regions which are both geographically and chronologically distinct.

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Other People’s Data: A Demonstration of the Imperative of Publishing Primary Data

Cited by 105 publications

References 20 publications

An analysis of characteristics and structures embedded in data papers

An analysis of characteristics and structures embedded in data papers

NEARCHOS. Networked Archaeological Open Science: Advances in Archaeology Through Field Analytics and Scientific Community Sharing

Making the Dead Visible: Problems and Solutions for “Big” Picture Approaches to the Past, and Dealing with Large “Mortuary” Datasets

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