A Linked Data Mosaic for Policy-Relevant Research on Science and Innovation: Value, Transparency, Rigor, and Community

A Linked Data Mosaic for Policy-Relevant Research on Science and Innovation: Value, Transparency, Rigor, and Community

Bibliografski detalji
Glavni autori:	Wan-Ying Chang, Maryah Garner, Jodi Basner, Bruce Weinberg, Jason Owen-Smith
Format:	Članak
Jezik:	English
Izdano:	The MIT Press 2022-04-01
Serija:	Harvard Data Science Review
Online pristup:	https://hdsr.mitpress.mit.edu/pub/u073rjxs

Slični predmeti

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The Tension Between Rigor and Relevance
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The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods
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Debate Over Rigor and Relevance in Scientific Study of Management
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Corrigendum: Dealing with great challenges via rigorous and relevant empirical sport management research
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Editorial: Changes in the field: banning p-values (or not), transparency, and the opportunities of a renewed discussion on rigorous (quantitative) research
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The Illusion of Rigor
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Rigorous Science: a How-To Guide
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Notas Sobre o <i>Rigor-Relevance Gap</i> no Contexto do Mestrado Profissional
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The link between fraud and transparency
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Triple-rigorous Storytelling
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Novelty, Rigor, and Diversity
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