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Open Data for Humanists, A Pragmatic Guide

Authors: Edmond, Jennifer; Tóth-Czifra, Erzsébet;

Open Data for Humanists, A Pragmatic Guide

Abstract

Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academic life. Many will also fear that sharing too much, too early can be professionally damaging, however. And many also would not find much resonance between how they see their work and the discourses of Open Data, with its emphasis on particular approaches to Data Management Planning that have been adapted from other, more data intensive, disciplines. What we recommend here proposes a different approach to data management, viewing it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open.; Most humanists would agree that sharing knowledge with other researchers is a cornerstone of academic life. Many will also fear that sharing too much, too early can be professionally damaging, however. And many also would not find much resonance between how they see their work and the discourses of Open Data, with its emphasis on particular approaches to Data Management Planning that have been adapted from other, more data intensive, disciplines. What we recommend here proposes a different approach to data management, viewing it as a reflective process that exposes and tweaks existing behaviours, rather than one that introduces specific tools. It is intended to encourage awareness of one’s own processes and mindfulness about how they could be more open.

Country
France
Related Organizations
Keywords

Humanities, Open Access, Open data, Research data management, GLAM, Arts and Humanities, Cultural Heritage, [SHS]Humanities and Social Sciences

2. When you can deposit, know what your options are and how you make the most of a deposit (for example by including related publications, explanatory notes, codes lists, and/or other paradata alongside the sources deposited).

3. Be aware of what common templates for Data Management Plans are and do, and when you might need to use one of them.

4. To maximize the potentials of your publications, interlink them with any processural or source data you are able to make open. Some journals specialise in making this possible, but you can also find repositories to use for this, or at least provide links to one from the other. All of the components of your scholarly production can be reused and recognised more effectively when they are visible as parts of the same project.

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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
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