Knowledge-Driven Data Ecosystems Toward Data Transparency

نویسندگان

چکیده

A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and resolution interoperability issues among shared data. However, despite years research in governance management, trustability is still affected by absence transparent traceable data-driven pipelines. In this work, we focus on requirements challenges DEs face when ensuring transparency. Requirements are derived from organizational as well broader legal ethical considerations. We propose novel knowledge-driven DE architecture, providing pillars for satisfying analyzed requirements. illustrate potential our proposal real-world scenario. Last, discuss rate proposed architecture fulfillmentof these

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

متن کامل

Open Government Data Ecosystems: Linking Transparency for Innovation with Transparency for Participation and Accountability

The rhetoric of open government data (OGD) promises that data transparency will lead to multiple public benefits: economic and social innovation, civic participation, public-private collaboration, and public accountability. In reality much less has been accomplished in practice than advocates have hoped. OGD research to address this gap tends to fall into two streams – one that focuses on data ...

متن کامل

Toward Data-driven Programming for RESTful Linked Data

Applications are increasingly focused on the use and manipulation of data resources distributed on the Web. Consequently REST gains popularity with its resource-centric interaction architecture and flexibility enabled by hypermedia controls, i.e., links between resources. The natural extension of Linked Data with RESTful manipulation possibilities for resources can bring advantages that can be ...

متن کامل

Data-Driven Fuzzy Modeling: Transparency and Complexity Issues

Recently, the interest in data-driven approaches to the modeling of nonlinear processes has increased. Techniques based on fuzzy sets and rule-based systems have proven suitable mainly because of their potential to yield transparent models that are at the same time reasonably accurate. Many of the data-driven fuzzy modeling algorithms, however, aim primarily at good numerical approximation, whi...

متن کامل

System Uncertainty Based Data-Driven Knowledge Acquisition

In the three-layered framework for knowledge discovery, it is necessary for technique layer to develop some data-driven algorithms, whose knowledge acquiring process is characterized by and hence advantageous for the unnecessity of prior domain knowledge or external information. System uncertainty is able to conduct data-driven knowledge acquiring process. It is crucial for such a knowledge acq...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Data and Information Quality

سال: 2021

ISSN: ['1936-1963', '1936-1955']

DOI: https://doi.org/10.1145/3467022