Developing <scp>High‐Quality</scp> Data Infrastructure for Legal Analytics: Introducing the Israeli Supreme Court Database

Weinshall, Keren; Epstein, Lee

doi:10.1111/jels.12250

Cited by 9 publications

(2 citation statements)

References 43 publications

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“…This initial focus has carried over to the scope of empirical work on their adoption [142]. But contexts differ depending on issues like the readiness-level of data formats [143] and whether the research involves human subjects [144][145][146]. For these disciplinary reasons, a blanket appreciation of Open Data as inherently democratic is problematic [147,148].…”

Section: Inequities In Open Data and Fair Datamentioning

confidence: 99%

Dynamics of cumulative advantage and threats to equity in open science: a scoping review

et al. 2022

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Open Science holds the promise to make scientific endeavours more inclusive, participatory, understandable, accessible and re-usable for large audiences. However, making processes open will not per se drive wide reuse or participation unless also accompanied by the capacity (in terms of knowledge, skills, financial resources, technological readiness and motivation) to do so. These capacities vary considerably across regions, institutions and demographics. Those advantaged by such factors will remain potentially privileged, putting Open Science's agenda of inclusivity at risk of propagating conditions of ‘cumulative advantage’. With this paper, we systematically scope existing research addressing the question: ‘What evidence and discourse exists in the literature about the ways in which dynamics and structures of inequality could persist or be exacerbated in the transition to Open Science, across disciplines, regions and demographics?’ Aiming to synthesize findings, identify gaps in the literature and inform future research and policy, our results identify threats to equity associated with all aspects of Open Science, including Open Access, Open and FAIR Data, Open Methods, Open Evaluation, Citizen Science, as well as its interfaces with society, industry and policy. Key threats include: stratifications of publishing due to the exclusionary nature of the author-pays model of Open Access; potential widening of the digital divide due to the infrastructure-dependent, highly situated nature of open data practices; risks of diminishing qualitative methodologies as ‘reproducibility’ becomes synonymous with quality; new risks of bias and exclusion in means of transparent evaluation; and crucial asymmetries in the Open Science relationships with industry and the public, which privileges the former and fails to fully include the latter.

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Section: Inequities In Open Data and Fair Datamentioning

confidence: 99%

Dynamics of cumulative advantage and threats to equity in open science: a scoping review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This initial focus has carried over to the scope of empirical work on their adoption . But contexts differ depending on issues like the readiness-level of data formats [143] and whether research involves human subjects [144][145][146]. For these disciplinary reasons, a blanket appreciation of open data as inherently democratic is problematic [147,148].…”

Section: Inequities In Open and Fair Datamentioning

confidence: 99%

Dynamics of Cumulative Advantage and Threats to Equity in Open Science - A Scoping Review

Ross-Hellauer¹,

Reichmann²,

Cole³

et al. 2021

Preprint

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Open Science holds the promise to make scientific endeavours more inclusive, participatory, understandable, accessible, and re-usable for large audiences. However, making processes open will not per se drive wide re-use or participation unless also accompanied by the capacity (in terms of knowledge, skills, financial resources, technological readiness and motivation) to do so. These capacities vary considerably across regions, institutions and demographics. Those advantaged by such factors will remain potentially privileged, putting Open Science’s agenda of inclusivity at risk of propagating conditions of “cumulative advantage”. With this paper, we systematically scope existing research addressing the question: “What evidence and discourse exists in the literature about the ways in which dynamics and structures of inequality could persist or be exacerbated in the transition to Open Science, across disciplines, regions and demographics?” Aiming to synthesise findings, identify gaps in the literature, and inform future research and policy, our results identify threats to equity associated with all aspects of Open Science, including Open Access, Open/FAIR Data, Open Methods, Open Evaluation, Citizen Science, as well as its interfaces with society, industry and policy. Key threats include: stratifications of publishing due to the exclusionary nature of the author-pays model of Open Access; potential widening of the digital divide due to the infrastructure-dependent, highly situated nature of open data practices; risks of diminishing qualitative methodologies as “reproducibility” becomes synonymous with quality; new risks of bias and exclusion in means of transparent evaluation; and crucial asymmetries in the Open Science relationships with industry and the public, which privileges the former and fails to fully include the latter.

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Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021

2023

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This article presents HUNCOURT, a complex open legal database for the quantitative analysis of the practice of the Hungarian Constitutional Court (HCC). Covering all HCC decisions and orders published between 1990 and 2021, the new database is published under an Open Database License and allows for advanced queries that go beyond the search engine options of industry-standard proprietary legal databases. We bypass the often inaccurate and time-consuming manual search options by providing a full text database that is entirely machine-readable, along with a full selection of available metadata. In the article, we also demonstrate the potential of the new database for scholarly research by presenting a use case for such analysis related to the self-reflexivity and reasoning of the constitutional court. We show that a state-of-the-art database opens up possibilities for applying quantitative text analysis and text mining to research questions that have so far been mostly analysed in a qualitative framework.

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Developing High‐Quality Data Infrastructure for Legal Analytics: Introducing the Israeli Supreme Court Database

Cited by 9 publications

References 43 publications

Dynamics of cumulative advantage and threats to equity in open science: a scoping review

Dynamics of cumulative advantage and threats to equity in open science: a scoping review

Dynamics of Cumulative Advantage and Threats to Equity in Open Science - A Scoping Review

Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021

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