Local Data Journalism in Germany: Data-driven Reporting Amidst Local Communities and Authorities

2022 ◽  
pp. 1-20
Author(s):  
Florian Stalph ◽  
Oliver Hahn ◽  
David Liewehr
Author(s):  
Fredrick Mugira

Abstract This chapter addresses an often overlooked area in water diplomacy: the role of journalists in ensuring transboundary cooperation in shared rivers, shaping perceptions and contributing to define the scope of water debates and negotiations. A good example of balanced water coverage is described, i.e. the InfoNile.org, which is a geojournalism platform that combines interactive maps with stories to promote local data journalism on topics related to water and the environment in the Nile Basin. InfoNile is bridging gaps between Nile Basin scientists, researchers, journalists and the general public to increase mutual awareness and understanding of the various dimensions of covering water.


Author(s):  
Wiebke Loosen

This chapter explores the relationship between the datafication of society and a datafied journalism and introduces awards as a means to study the evolution of data journalism.


Author(s):  
Jeremy Millard

In terms of public services, governments do not yet know how to treat users as different and unique individuals. At worst, users are still considered an undifferentiated mass, or at best as segments. However, the benefits of universal personalisation in public services are within reach technologically through e-government developments. Universal personalisation will involve achieving a balance between top-down government- and data-driven services, on the one hand, and bottom-up self-directed and user-driven services on the other. There are at least three main technological, organisational and societal drivers. First, top-down data-driven, often automatic, services based on the huge data resources available in the cloud and the technologies enabling the systematic exploitation of these by governments. Second, increasing opportunities for users themselves or their intermediaries to select or create their own service environments, bottom-up, through ‘user-driven’ services, drawing directly on the data cloud. Third, a move to ‘everyday’, location-driven e-government based largely on mobile smart phones using GPS and local data clouds, where public services are offered depending on where people are as well as who they are and what they are doing. This paper examines practitioners and researchers and describes model current trends based on secondary research and literature review.


2015 ◽  
Vol 2 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Turo I Uskali ◽  
Heikki Kuutti

This paper presents the initial results of a two-year research project, the Data Journalism Work Practices, which focuses on newsrooms in Finland, UK and US. Data journalism or data-driven journalism has been defined simply as journalism based on large data sets (or big data) Rogers 2011; Bounegru et al. 2012). According to our ongoing research on data journalism work methods, we can claim this has been an oversimplification. In this paper we will argue that all the brief definitions of data journalism lack nuances, and the multiple layers that contemporary data journalism already consists of in newsrooms. Based on six interviews of leading Finnish, American and British data journalists we can claim that there are already at least three different models for organizing data journalism work practices, and two main streams of data journalism, not just one.


1989 ◽  
Vol 23 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Jan Mielniczuk ◽  
Pascal Sarda ◽  
Philippe Vieu

Journalism ◽  
2020 ◽  
pp. 146488492095138
Author(s):  
Allen Munoriyarwa

Drawing from the sociology of news production theory, this study examines the uptake of data-driven practices in business news reporting. It examines the extent to which journalists have adopted data journalism in business news and how this has altered their news reporting practices. It is based on a textual analysis of business news stories from two selected prominent business newspapers – Business Day and The Financial Mail and qualitative interviews with business news reporters. The study finds that there is a (gradually) increasing uptake of data-driven business news reporting practices, tempered by journalists’ concerns regarding their own individual professional capabilities. Furthermore, the practice has increasingly created a new narrative of corporate accountability in the press and inculcated collaboration in newsrooms. It argues that data-driven business news practices have upended the ‘rhythimised’ and ‘routinised’ news production processes by, among other aspects, empowering non-elite news sources, fostering newsroom collaborations and agentive the newsrooms. However, there is need for a recalibration of journalism education if data-driven reporting practices are to be more sustainable.


2020 ◽  
pp. 1-13
Author(s):  
Félix Arias-Robles ◽  
Pilar José López López
Keyword(s):  

2011 ◽  
Vol 7 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Jeremy Millard

In terms of public services, governments do not yet know how to treat users as different and unique individuals. At worst, users are still considered an undifferentiated mass, or at best as segments. However, the benefits of universal personalisation in public services are within reach technologically through e-government developments. Universal personalisation will involve achieving a balance between top-down government- and data-driven services, on the one hand, and bottom-up self-directed and user-driven services on the other. There are at least three main technological, organisational and societal drivers. First, top-down data-driven, often automatic, services based on the huge data resources available in the cloud and the technologies enabling the systematic exploitation of these by governments. Second, increasing opportunities for users themselves or their intermediaries to select or create their own service environments, bottom-up, through ‘user-driven’ services, drawing directly on the data cloud. Third, a move to ‘everyday’, location-driven e-government based largely on mobile smart phones using GPS and local data clouds, where public services are offered depending on where people are as well as who they are and what they are doing. This paper examines practitioners and researchers and describes model current trends based on secondary research and literature review.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Benjamin A. Kamala ◽  
Hege L. Ersdal ◽  
Estomih Mduma ◽  
Robert Moshiro ◽  
Sakina Girnary ◽  
...  

Abstract Background The burden of stillbirth, neonatal and maternal deaths are unacceptably high in low- and middle-income countries, especially around the time of birth. There are scarce resources and/or support implementation of evidence-based training programs. SaferBirths Bundle of Care is a well-proven package of innovative tools coupled with data-driven on-the-job training aimed at reducing perinatal and maternal deaths. The aim of this project is to determine the effect of scaling up the bundle on improving quality of intrapartum care and perinatal survival. Methods The project will follow a stepped-wedge cluster implementation design with well-established infrastructures for data collection, management, and analysis in 30 public health facilities in regions in Tanzania. Healthcare workers from selected health facilities will be trained in basic neonatal resuscitation, essential newborn care and essential maternal care. Foetal heart rate monitors (Moyo), neonatal heart rate monitors (NeoBeat) and skills trainers (NeoNatalie Live) will be introduced in the health facilities to facilitate timely identification of foetal distress during labour and improve neonatal resuscitation, respectively. Heart rate signal-data will be automatically collected by Moyo and NeoBeat, and newborn resuscitation training by NeoNatalie Live. Given an average of 4000 baby-mother pairs per year per health facility giving an estimate of 240,000 baby-mother pairs for a 2-years duration, 25% reduction in perinatal mortality at a two-sided significance level of 5%, intracluster correlation coefficient (ICC) to be 0.0013, the study power stands at 0.99. Discussion Previous reports from small-scale Safer Births Bundle implementation studies show satisfactory uptake of interventions with significant improvements in quality of care and lives saved. Better equipped and trained birth attendants are more confident and skilled in providing care. Additionally, local data-driven feedback has shown to drive continuous quality of care improvement initiatives, which is essential to increase perinatal and maternal survival. Strengths of this research project include integration of innovative tools with existing national guidelines, local data-driven decision-making and training. Limitations include the stepwise cluster implementation design that may lead to contamination of the intervention, and/or inability to address the shortage of healthcare workers and medical supplies beyond the project scope. Trial registration Name of Trial Registry: ISRCTN Registry. Trial registration number: ISRCTN30541755. Date of Registration: 12/10/2020. Type of registration: Prospectively Registered.


Sign in / Sign up

Export Citation Format

Share Document