{"title":"Data Literacy projects in Canada: Field notes from the Open Data Institute, Toronto node","authors":"Andi Argast, L. Zvyagintseva","doi":"10.15353/joci.v12i3.3287","DOIUrl":"https://doi.org/10.15353/joci.v12i3.3287","url":null,"abstract":"Open data is flourishing in Canada, but there are few formalized data literacy initiatives. Civic technology organizations such as the Toronto Node of the Open Data Institute (ODI Toronto), in partnership with public institutions and advocacy groups, are helping to fill the gap in data literacy through workshops and accessible hackathons. These organizations are collaboratively pursuing the goal of ensuring that open data benefits more than just a minority of technologically privileged Canadians.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paola Prado, J. A. Tirado-Alcaraz, Mauro Araújo Câmara
{"title":"Perceptions of ICT use in rural Brazil: Factors that impact appropriation among marginalized communities","authors":"Paola Prado, J. A. Tirado-Alcaraz, Mauro Araújo Câmara","doi":"10.15353/joci.v12i3.3281","DOIUrl":"https://doi.org/10.15353/joci.v12i3.3281","url":null,"abstract":"This study of digital inclusion among the rural poor examines how residents of remote mountain communities in Brazil perceive the use of information and communication technologies (ICTs). It analyzes social factors that impact ICT appropriation and the behaviors and attitudes that advance digital literacy among marginalized rural populations. The authors conducted factor analysis and logistic regressions to survey data collected. Results confirm the presence of a gender divide in ICT adoption. Women were more likely to perceive that ICT use brings social benefits to the community, and considered that ICTs provide better opportunities for the young.Este estudio sobre inclusion digital entre los pobres en comunidades rurales examina como es que los residentes de comunidades serranas remotas en Brasil perciben el uso de la las tecnologias de la informacion y comunicacion (TICs). Analiza los factores sociales que impactan la apropiacion de TIC, asi como el comportamiento y las actitudes que permiten el avance de la alfabetizacion digital en poblaciones rurales marginalizadas. Los autores realizaron un analisis factorial y regresiones logisticas de la informacion recolectada a traves de encuestas. Los resultados confirman la presencia de una brecha de genero en la adopcion de TIC. Las mujeres son mas propensas a percibir que el uso de ICT trae beneficios sociales para la comunidad, y tambien consideraron que las TICs proporcionan mejores oportunidades para los jovenes.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graphical Perception of Value Distributions: An Evaluation of Non-Expert Viewers' Data Literacy","authors":"A. Zubiaga, Brian Mac Namee","doi":"10.15353/joci.v12i3.3282","DOIUrl":"https://doi.org/10.15353/joci.v12i3.3282","url":null,"abstract":"An ability to understand the outputs of data analysis is a key characteristic of data literacy and the inclusion of data visualisations is ubiquitous in the output of modern data analysis. Several aspects still remain unresolved, however, on the question of choosing data visualisations that lead viewers to an optimal interpretation of data. This is especially true when audiences have differing degrees of data literacy. In this paper we describe two user studies on perception from data visualisations, in which we measured the ability of participants to validate statements about the distributions of data samples visualised using different chart types. In the first user study, we find that histograms are the most suitable chart type for illustrating the distribution of values for a variable. We contrast our findings with previous research in the field, and posit three main issues identified from the study. Most notably, however, we show that viewers struggle to identify scenarios in which a chart simply does not contain enough information to validate a statement about the data that it represents. In the follow-up study, we ask viewers questions about quantification of frequencies, and identification of most frequent values from different types of histograms and density traces showing one or two distributions of values. This study reveals that viewers do better with histograms when they need to quantify the values displayed in a chart. Among the different types of histograms, interspersing the bars of two distributions in a histogram leads to the most accurate perception. Even though interspersing bars makes them thinner, the advantage of having both distributions clearly visible pays off. The findings of these user studies provide insight to assist designers in creating optimal charts that enable comparison of distributions, and emphasise the importance of using an understanding of the limits of viewers’ data literacy to design charts effectively.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128706735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Wolff, D. Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem
{"title":"Creating an Understanding of Data Literacy for a Data-driven Society","authors":"A. Wolff, D. Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem","doi":"10.15353/joci.v12i3.3275","DOIUrl":"https://doi.org/10.15353/joci.v12i3.3275","url":null,"abstract":"Society is become increasingly reliant on data, making it necessary to ensure that all citizens are equipped with the skills needed to be data literate. We argue that the foundations for a data literate society begin by acquiring key data literacy competences in school. However, as yet there is no clear definition of what these should be. This paper explores the different perspectives currently offered on both data and statistical literacy and then critically examines to what extent these address the data literacy needs of citizens in today’s society. We survey existing approaches to teaching data literacy in schools, to identify how data literacy is interpreted in practice. Based on these analyses, we propose a definition of data literacy that is focused on using data to understand real world phenomena. The contribution of this paper is the creation of a common foundation for teaching and learning data literacy skills.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geek Heresy: a heretical view of technology for development","authors":"Tony Roberts","doi":"10.15353/joci.v12i2.3230","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3230","url":null,"abstract":"","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"To the Cloud: Big Data in a Turbulent World by Vincent Mosco","authors":"Alexander Fink","doi":"10.15353/joci.v12i2.3229","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3229","url":null,"abstract":"Vincent Mosco begins and ends To The Cloud: Big Data in a Turbulent World by exploring metaphors about clouds and applying them to cloud computing. These metaphors offer a way into understanding the history of cloud computing: where it came from, why it began, how its evolved, and the ways it works in our everyday lives. He draws on literature, including a book entitled The Cloud of Unknowing by a medieval English monk (pg. 13). As I write this, I switch over to my streaming music service momentarily and discover it playing a song of the same name, this time by a contemporary artist, James Blackshaw. Given that I’d heard of neither the song nor artist until this very moment, this makes me a bit suspicious about how closely I’m being watched by my music player. Was it reading my email? Did it discover my notes, uploaded to the cloud on Evernote? Does it know this book was shipped to me? It’s almost difficult to believe it is complete coincidence. And yet this is one of the promises of the cloud and big data - a world where what we want (even when we didn’t know we wanted it) is at our finger tips exactly when we want it.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"9 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding Information need and media habit of poor farmers in Bangladesh","authors":"Mohammad Muaz Jalil, Mohammadian Jalil","doi":"10.15353/joci.v12i2.3251","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3251","url":null,"abstract":"Relationship between information and communication technologies (ICTs) and poverty remains unclear. The result is likely to remain such if focus is not given to the understanding of needs of the poorer community whose problems ICT interventions are supposed to solve. The present study is an attempt in that direction and it does so by trying to understand the media habit of poor farmers in Bangladesh. The study covered 7 major agricultural sectors across 15 districts (out of 64) of Bangladesh. It is hoped that the detailed sector disaggregated findings of the study can be used in better designing of interventions to leverage ICTs, which can address key constraints in different agricultural value chains within Bangladesh.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Facebook's \"Free Basics\": For or against community development?","authors":"Moonjung Yim, R. Gómez, Michelle S. Carter","doi":"10.15353/joci.v12i2.3228","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3228","url":null,"abstract":"A recent discussion on a prominent community informatics (CI) listserv revealed arguments for and against the Facebook’s Free Basics platform among researchers in the field. To continue and enrich the conversation, this study first examines the contrasting stances revealed in the CI listserv discussion and derives the CI researchers’ major concerns about the platform. Under the light of these concerns, we then explore the nature of Facebook’s Free Basics in relation to community development through analysis of one of the forefront services that Free Basics offers, i.e., Facebook. Specifically, we examine relationships between uses of Facebook and information technology (IT) identity formation and social capital. We argue that although projects operated by private companies may possess potential for supporting community development, much consideration is needed in embracing the technology solutions due to the risks and restrictions they can impose on its users. We also suggest the CI researchers to open the next round of discussion regarding ways to thoroughly assess possible flaws of Free Basics and help users of the platform make more informed decisions. IT identity is a new theory that can help shed new light on the challenges of using platforms such as Free Basics and their contribution to community development.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132446272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Researching the emerging impacts of open data: revisiting the ODDC conceptual framework","authors":"T. Davies, F. Perini","doi":"10.15353/joci.v12i2.3246","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3246","url":null,"abstract":"Open data has rapidly moved from being a niche interest, to being part of the global policy mainstream. Government-led open data initiatives have spread across the globe, and civil society or technologist experiments using data to improve governance have been spreading organically, from budget monitoring in Nigeria, to court transparency projects in Argentina. It is increasingly seen as enabler of a “data revolution” in the process of decision-making and accountability. However, understanding how experience of open data will vary from country to country and context to context, and, understanding the common features of open data that are shaping its implementation in these diverse settings, requires broad-based research framework. It requires research that can engage with both existing realities of decision-making in sectors, acknowledging the growing complexity of this process in an increasingly networked society. In this paper we have reviewed the framework of the “Open Data in Developing Countries”(ODDC) project, the largest research project on the impact of open data in developing countries to date. The framework was designed to help explore the link between openness in the data ecosystem, decentralized changes in decision-making, and positive and negative emerging impacts such as transparency and accountability, inclusion and empowerment as well as innovation and economic development. It was tested to generate cross-learning from 17 in-depth cases studies in 14 countries, as well as generate policy-relevant findings. This paper reviews and updates the original framework based on the findings and reflections developed during the research project.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127894135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Open Data and Subnational Governments: Lessons from Developing Countries","authors":"M. Canares, Satyarupa Shekhar","doi":"10.15353/joci.v12i2.3242","DOIUrl":"https://doi.org/10.15353/joci.v12i2.3242","url":null,"abstract":"Much of the discussion in open government data, especially in developing countries, is at the national government level. However, in decentralized contexts, the local is where data is collected and stored, and when published, can generate impact. This synthesis paper refocuses the discussion of open government data to local contexts by analyzing nine country papers produced through the Open Data in Developing Countries research project. The study found out that there is substantial effort on the part of sub-national governments to proactively disclose data and that local context demands different roles for intermediaries and different types of initiatives to create an enabling environment for open data use and achieve impact.","PeriodicalId":280460,"journal":{"name":"J. Community Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125218363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}