Commentary: Beyond Data: Transparency and Trust

Author(s):  
Scott C. Silvestry
Keyword(s):  
2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Dodi Faedlulloh ◽  
Fetty Wiyani

This paper aimed to explain public financial governance based on good governance implementation in Jakarta Provincial Government. This paper specifically discussed towards transparancy implementation of local budget (APBD) through open data portal that publishes budget data to public. In general, financial transparency through open data has met Transparency 2.0 standards, namely the existence of encompassing, one-stop, one-click budget accountability and accessibility. But there are indeed some shortcomings that are still a concern in order to continue to maintain commitment to the principle of transparency, namely by updating data through consistent data visualization.Transparency of public finance needs to continue to be developed and improved through various innovations to maintain public trust in the government.Keywords: Public Finance, Open Data, Transparency


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 46
Author(s):  
Houssein Hellani ◽  
Layth Sliman ◽  
Abed Ellatif Samhat ◽  
Ernesto Exposito

Data transparency is essential in the modern supply chain to improve trust and boost collaboration among partners. In this context, Blockchain is a promising technology to provide full transparency across the entire supply chain. However, Blockchain was originally designed to provide full transparency and uncontrolled data access. This leads many market actors to avoid Blockchain as they fear for their confidentiality. In this paper, we highlight the requirements and challenges of supply chain transparency. We then investigate a set of supply chain projects that tackle data transparency issues by utilizing Blockchain in their core platform in different manners. Furthermore, we analyze the projects’ techniques and the tools utilized to customize transparency. As a result of the projects’ analyses, we identified that further enhancements are needed to set a balance between the data transparency and process opacity required by different partners, to ensure the confidentiality of their processes and to control access to sensitive data.


2015 ◽  
Vol 45 (2) ◽  
pp. 44-48 ◽  
Author(s):  
Rafael Gross-Brown ◽  
Michal Ficek ◽  
Jose Luis Agundez ◽  
Patrick Dressler ◽  
Nikolaos Laoutaris
Keyword(s):  

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Alexandra K. Murphy ◽  
Colin Jerolmack ◽  
DeAnna Smith

The conventions ethnographers follow to gather, write about, and store their data are increasingly out of sync with contemporary research expectations and social life. Despite technological advancements that allow ethnographers to observe their subjects digitally and record interactions, few follow subjects online and many still reconstruct quotes from memory. Amid calls for data transparency, ethnographers continue to conceal subjects’ identities and keep fieldnotes private. But things are changing. We review debates, dilemmas, and innovations in ethnography that have arisen over the past two decades in response to new technologies and calls for transparency. We focus on emerging conversations around how ethnographers record, collect, anonymize, verify, and share data. Considering the replication crisis in the social sciences, we ask how ethnographers can enable others to reanalyze their findings. We address ethical implications and offer suggestions for how ethnographers can develop standards for transparency that are consistent with their commitment to their subjects and interpretive scholarship. Expected final online publication date for the Annual Review of Sociology, Volume 47 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2014 ◽  
Vol 39 (1) ◽  
pp. 28-33 ◽  
Author(s):  
Demissie Alemayehu ◽  
Richard J. Anziano ◽  
Marcia Levenstein

2018 ◽  
Vol 38 (6) ◽  
pp. 58-66 ◽  
Author(s):  
Kathy Easter ◽  
Linda M. Tamburri

The need for nurses to understand patient safety and quality outcome data is pressing in the current era of data transparency. Health care outcomes data are now publicly reported and readily accessible to consumers, are necessary for performance-based reimbursement, and are required by government and regulatory agencies. In order for nurses at all levels of practice to own their outcomes and be accountable for making improvements, they must possess skills in collecting, analyzing, evaluating, and acting on outcome data. This article provides basic tools and clinical examples for nurses to use in a focused application of outcome data and a structured process for improving nursing care outcomes.


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