scholarly journals A Fully Decentralized Triplestore Managed via the Ethereum Blockchain

2021 ◽  
Author(s):  
Damien Graux ◽  
Sina Mahmoodi
Keyword(s):  
Fault Tolerance ◽  
Data Management ◽  
Management Strategies ◽  
Open Data ◽  
High Quality ◽  
Data Infrastructure ◽  
The Public ◽  
Storage And Retrieval ◽  
Web Of Data ◽  
Barrier To Entry

The growing web of data warrants better data management strategies. Data silos are single points of failure and they face availability problems which lead to broken links. Furthermore the dynamic nature of some datasets increases the need for a versioning scheme. In this work, we propose a novel architecture for a linked open data infrastructure, built on open decentralized technologies. IPFS is used for storage and retrieval of data, and the public Ethereum blockchain is used for naming, versioning and storing metadata of datasets. We furthermore exploit two mechanisms for maintaining a collection of relevant, high-quality datasets in a distributed manner in which participants are incentivized. The platform is shown to have a low barrier to entry and censorship-resistance. It benefits from the fault-tolerance of its underlying technologies. Furthermore, we validate the approach by implementing our solution.

scholarly journals NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

2020 ◽  
Vol 6 ◽  
Author(s):  
Christoph Steinbeck ◽  
Oliver Koepler ◽  
Felix Bach ◽  
Sonja Herres-Pawlis ◽  
Nicole Jung ◽  
...  
Keyword(s):  
Data Management ◽  
Data Science ◽  
Open Data ◽  
Research Data ◽  
Data Standards ◽  
Data Repositories ◽  
Data Infrastructure ◽  
Research Data Management ◽  
Wide Range ◽  
Chemistry Community

The vision of NFDI4Chem is the digitalisation of all key steps in chemical research to support scientists in their efforts to collect, store, process, analyse, disclose and re-use research data. Measures to promote Open Science and Research Data Management (RDM) in agreement with the FAIR data principles are fundamental aims of NFDI4Chem to serve the chemistry community with a holistic concept for access to research data. To this end, the overarching objective is the development and maintenance of a national research data infrastructure for the research domain of chemistry in Germany, and to enable innovative and easy to use services and novel scientific approaches based on re-use of research data. NFDI4Chem intends to represent all disciplines of chemistry in academia. We aim to collaborate closely with thematically related consortia. In the initial phase, NFDI4Chem focuses on data related to molecules and reactions including data for their experimental and theoretical characterisation. This overarching goal is achieved by working towards a number of key objectives: Key Objective 1: Establish a virtual environment of federated repositories for storing, disclosing, searching and re-using research data across distributed data sources. Connect existing data repositories and, based on a requirements analysis, establish domain-specific research data repositories for the national research community, and link them to international repositories. Key Objective 2: Initiate international community processes to establish minimum information (MI) standards for data and machine-readable metadata as well as open data standards in key areas of chemistry. Identify and recommend open data standards in key areas of chemistry, in order to support the FAIR principles for research data. Finally, develop standards, if there is a lack. Key Objective 3: Foster cultural and digital change towards Smart Laboratory Environments by promoting the use of digital tools in all stages of research and promote subsequent Research Data Management (RDM) at all levels of academia, beginning in undergraduate studies curricula. Key Objective 4: Engage with the chemistry community in Germany through a wide range of measures to create awareness for and foster the adoption of FAIR data management. Initiate processes to integrate RDM and data science into curricula. Offer a wide range of training opportunities for researchers. Key Objective 5: Explore synergies with other consortia and promote cross-cutting development within the NFDI. Key Objective 6: Provide a legally reliable framework of policies and guidelines for FAIR and open RDM.

scholarly journals High-quality science requires high-quality open data infrastructure

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Susanna-Assunta Sansone ◽  
Patricia Cruse ◽  
Mark Thorley
Keyword(s):  
Open Data ◽  
High Quality ◽  
Data Infrastructure

SPedia

2018 ◽  
pp. 1576-1596
Author(s):  
Muhammad Ahtisham Aslam ◽  
Naif Radi Aljohani
Keyword(s):  
Knowledge Base ◽  
Open Data ◽  
Data Publishing ◽  
High Quality ◽  
Scientific Publications ◽  
Sparql Endpoint ◽  
Web Of Data ◽  
Intelligent Searching ◽  
The Web

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

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

2018 ◽  
Vol 22 (1) ◽  
pp. 36
Author(s):  
Agie Nugroho Soegiono
Keyword(s):  
Open Data ◽  
Open Government ◽  
Data Infrastructure ◽  
The Public ◽  
Regulatory Frameworks ◽  
High Investment ◽  
One Stop ◽  
User Access ◽  
Remarkable Progress

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.

SPedia

2017 ◽  
Vol 13 (1) ◽  
pp. 128-147 ◽  
Author(s):  
Muhammad Ahtisham Aslam ◽  
Naif Radi Aljohani
Keyword(s):  
Knowledge Base ◽  
Open Data ◽  
Data Publishing ◽  
High Quality ◽  
Scientific Publications ◽  
Sparql Endpoint ◽  
Web Of Data ◽  
Intelligent Searching ◽  
The Web

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

scholarly journals The Front Office–Back Office Model: Supporting Research Data Management in the Netherlands

2014 ◽  
Vol 9 (2) ◽  
pp. 39-46 ◽  
Author(s):  
Ingrid Dillo ◽  
Peter Doorn
Keyword(s):  
The Netherlands ◽  
Data Management ◽  
Research Data ◽  
Management Policy ◽  
High Quality ◽  
Automatic Data ◽  
Data Infrastructure ◽  
Secure Storage ◽  
Front Office ◽  
Back Office

High quality and timely data management and secure storage of data, both during and after completion of research, are an essential prerequisite for sharing that data. It is therefore crucial that universities and research institutions themselves formulate a clear policy on data management within their organization. For the implementation of this data management policy, high quality support for researchers and an adequate technical infrastructure are indispensable. This practice paper will present an overview of the merging federated data infrastructure in the Netherlands with its front office – back office model, as a use case of an efficient and effective national support infrastructure for researchers. We will elaborate on the stakeholders involved, on the services they offer each other, and on the benefits of this model not only for the front and back offices themselves, but also for the researchers. We will also pay attention to a number of challenges that we are facing, like the implementation of a technical infrastructure for automatic data ingest and integrating access to research data.

Open-and-Shut Case

2021 ◽  
pp. 61-68
Author(s):  
Rob Kitchin
Keyword(s):  
Public Sector ◽  
Open Data ◽  
Civil Servant ◽  
Data Repository ◽  
Regional Data ◽  
Data Infrastructure ◽  
Data Services ◽  
The Public ◽  
Free Data ◽  
Government Data

This chapter details a conversation between open data advocates and a civil servant in charge of the process, which reveals the challenges of getting government data made open. Without an injection of funds, an open data initiative called the Regional Data Lab, was in danger of winding down. Government had very little interest in making their data available, and even less enthusiasm for spending money during austerity. And open data was not free data; somebody had to pay for the labour of preparing data for release and building the necessary data infrastructure. What the Regional Data Lab does is take what data are already openly available and make them useable for those that lack the skills to build their own tools so they can use them in formulating policy. Rather than negotiating separate contracts every time, it would make more sense to simply centrally fund the Regional Data Lab to provide a suite of core data services. However, the advocates are more interested in the development of a national open data repository and access to more data, and a coordinated approach to providing data analytics for the public sector.

Identification and Remediation of At-Risk Student Clinicians in Audiology and Speech-Language Pathology

2008 ◽  
Vol 18 (1) ◽  
pp. 24-31
Author(s):  
Martha Wilder Wilson ◽  
Elizabeth Zylla-Jones
Keyword(s):  
At Risk ◽  
Training Programs ◽  
Professional Services ◽  
Speech Language Pathology ◽  
High Quality ◽  
The Public ◽  
Language Pathology ◽  
Remediation Plan ◽  
University Training ◽  
At Risk Student

Abstract The goal of university training programs is to educate speech-language pathology and audiology students to become competent and independent practitioners, with the ability to provide high quality and professional services to the public. This article describes the behaviors of “at-risk” student clinicians, so they may be identified early in their practica and remediation may be implemented. The importance of establishing a student at-risk protocol is discussed as well as a remediation plan for these students. This article summarized the Auburn University Speech and Hearing Clinic’s Student At-Risk Protocol, which may serve as a model for university training programs. The challenges of implementing such a protocol are also discussed.

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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