Data literacy: in search of a name and identity

Koltay, Tibor

doi:10.1108/jd-02-2014-0026

Cited by 134 publications

(83 citation statements)

References 46 publications

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“…Data management skills can be technical, critical, social, and creative. Technical data skills include data discovery, data visualization, and data conversion (Fotopoulou & Couldry, 2015;Koltay, 2015). Another essential skill is critical data thinking, which relates to systematic thinking on data management.…”

Section: Digital Engagement For Open Data Usagementioning

confidence: 99%

Investigating Digital (Dis)engagement of Open Government: Case Study of One Data Indonesia

Soegiono

2018

JKAP (Jurnal Kebijakan dan Administrasi Publik)

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Over the last decade, Indonesia has achieved remarkable progress in promoting transparent andinclusive development through implementing open government principles. This research investigatesone of the open government projects in Indonesia- One Data Indonesia (ODI), a one-stop opengovernment data portal that provides accurate, reliable, and interoperable single-reference datafor the public to use and redistribute without any limitation. The study aims to highlight thecurrent updates on open data implementation in Indonesia and the challenges that may hinder itsapplication in future. The study is an action research, conducted through the participation of theauthor in a three-month internship programme at the Executive Office of the President Republic ofIndonesia. Data on the portal’s engagement was based on Google Analytics. This study finds thatthere is disengagement in open data implementation, which is reflected by a small percentage ofavailable datasets and an imbalance in user access across Indonesia. This study argues that thedisengagement is due to several factors, including irrelevant and uncertain regulatory frameworks,confusion over setting priority goals, inadequate data infrastructure, and limited digital-literatehuman resource. Despite high investment and expectations from the portal, the benefits and civicengagement it has generated so far remain questionable.

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Section: Digital Engagement For Open Data Usagementioning

confidence: 99%

Investigating Digital (Dis)engagement of Open Government: Case Study of One Data Indonesia

Soegiono

2018

JKAP (Jurnal Kebijakan dan Administrasi Publik)

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“…Notes 1. See Shields (2004), Carlson et al (2011), Hogenboom et al (2011, Calzada and Marzal (2013), Twidale et al (2013), Martin (2014), Bhargava and D'Ignazio (2015), MacMillan (2015), Koltay (2015aKoltay ( , 2015b, Herzog (2015) and Frank et al (2016). 2.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

Data infrastructure literacy

2018

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A recent report from the UN makes the case for ''global data literacy'' in order to realise the opportunities afforded by the ''data revolution''. Here and in many other contexts, data literacy is characterised in terms of a combination of numerical, statistical and technical capacities. In this article, we argue for an expansion of the concept to include not just competencies in reading and working with datasets but also the ability to account for, intervene around and participate in the wider socio-technical infrastructures through which data is created, stored and analysed -which we call ''data infrastructure literacy''. We illustrate this notion with examples of ''inventive data practice'' from previous and ongoing research on open data, online platforms, data journalism and data activism. Drawing on these perspectives, we argue that data literacy initiatives might cultivate sensibilities not only for data science but also for data sociology, data politics as well as wider public engagement with digital data infrastructures. The proposed notion of data infrastructure literacy is intended to make space for collective inquiry, experimentation, imagination and intervention around data in educational programmes and beyond, including how data infrastructures can be challenged, contested, reshaped and repurposed to align with interests and publics other than those originally intended.

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“…Data literacy's overarching nature and importance are undeniable among others by being associated with information literacy. Nonetheless, if defined as a set of skills and abilities, related to accessing, understanding, interpreting, managing, critically evaluating and ethically using research data [32] this concept deliberately excludes varied aspects of our life, where we can enjoy the benefits of data literacy. Such aspects include data in the civil society, open government, community informatics, journalism, business, and teacher education.…”

Section: Data Literacymentioning

confidence: 99%

Identifying new roles for academic libraries in supporting data-intensive research

Koltai

2020

Библиосфера

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Reacting to the appearance of data-intensive research prompts academic libraries to become service providers for scholars, who work with research data. Although this is an imperative for libraries worldwide, due to the differences between countries and institutions, the level of readiness to engage in related activities differs from country to country. While some of the related tasks are fairly novel, others heavily build on librarians’ traditional, well-known skills. To identify these tasks, as well as making an inventory of the required skills and abilities, this paper, based on a non-exhaustive review of the recent literature, presents both theoretical and practical issues. It is demonstrated that the most obvious directions of the service development in academic libraries to support data-intensive science are research data management, data curation, data literacy education for users, and data literacy education for librarians.

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Data literacy: in search of a name and identity

Cited by 134 publications

References 46 publications

Investigating Digital (Dis)engagement of Open Government: Case Study of One Data Indonesia

Investigating Digital (Dis)engagement of Open Government: Case Study of One Data Indonesia

Data infrastructure literacy

Identifying new roles for academic libraries in supporting data-intensive research

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