An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis

2021 ◽  
Author(s):  
Heesun Won ◽  
Minh Chau Nguyen ◽  
Myeong-Seon Gil ◽  
Yang-Sae Moon
Keyword(s):  
Data Management ◽  
Open Data ◽  
Data Platform

scholarly journals Global open data management in metabolomics

2017 ◽  
Vol 36 ◽  
pp. 58-63 ◽  
Author(s):  
Kenneth Haug ◽  
Reza M Salek ◽  
Christoph Steinbeck
Keyword(s):  
Data Management ◽  
Open Data

scholarly journals The Open Data Challenge: An Analysis of 124,000 Data Availability Statements and an Ironic Lesson about Data Management Plans

2020 ◽  
Vol 2 (4) ◽  
pp. 554-568
Author(s):  
Chris Graf ◽  
Dave Flanagan ◽  
Lisa Wylie ◽  
Deirdre Silver
Keyword(s):  
Machine Learning ◽  
Data Management ◽  
Open Data ◽  
Research Data ◽  
Data Availability ◽  
Policy Changes ◽  
Management Plans ◽  
Trends Over Time ◽  
New Research ◽  
Over Time

Data availability statements can provide useful information about how researchers actually share research data. We used unsupervised machine learning to analyze 124,000 data availability statements submitted by research authors to 176 Wiley journals between 2013 and 2019. We categorized the data availability statements, and looked at trends over time. We found expected increases in the number of data availability statements submitted over time, and marked increases that correlate with policy changes made by journals. Our open data challenge becomes to use what we have learned to present researchers with relevant and easy options that help them to share and make an impact with new research data.

scholarly journals Employing GIS towards shaping a smart and sustainable future: a brief policy survey of global and Taiwan’s efforts

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Chih-Wei Chen ◽  
Ching-Yi Lin ◽  
Chine-Hung Tung ◽  
Hsiung-Ming Liao ◽  
Jr-Jie Jang ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Management ◽  
Cyber Security ◽  
Open Data ◽  
Geographic Information ◽  
The Sustainable Development ◽  
Digital Era ◽  
Sustainable Future ◽  
Strategic Policies

<p><strong>Abstract.</strong> Since UN announced 17 SDGs in 2015, many countries around the world have been endeavouring to promote SDGs towards building a sustainable future. Given the disparity of the regional development, national government is suggested to establish localised sustainable vision. Drawing on UN SDGs with targets and corresponding indicators, meanwhile considering local circumstances and sustainable vision, government further seeks to establish localised SDGs with related targets and indicators. Meanwhile, under the digital era, digital technologies have been extensively employed as the smart tool in many fields nowadays, and Geographic Information System (GIS) has been developed as the platform to visualise the SDGs progress in UN and many countries. On the above basis, this paper further demonstrates Taiwan’s efforts to establish localised SDGs, and develop National Geographic Information System (NGIS) to implement the sustainable development in Taiwan, monitor the SDGs progress, and provide feedback to policymakers to further make strategic policies in a top-down approach, meanwhile develop Community Geographic Information System (CGIS) to encourage stakeholders and citizens to harness the concept of CGIS to proactively create and tell their own stories and promote Regional Revitalisation policy in a bottom-up approach. Moreover, GIS could not function well without appropriate data management including massive data and open data policy, well-built digital infrastructure, as well as the selected “right data” and cyber security. Hence, with appropriate data management, GIS as a smart tool could facilitate the promotion and implementation of SDGs in an intuitive manner towards shaping a smart and sustainable future.</p>

scholarly journals TheyBuyForYou platform and knowledge graph: Expanding horizons in public procurement with open linked data

Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  
Keyword(s):  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Knowledge Graph ◽  
Multiple Sources ◽  
The Public ◽  
Cross Border ◽  
Data Platform ◽  
Document Search ◽  
Cross Lingual

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.

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.

Societal and Economical Impact on Citizens through Innovations Using Open Government Data

2015 ◽  
pp. 147-178 ◽  
Author(s):  
D. P. Misra ◽  
Alka Mishra
Keyword(s):  
Good Governance ◽  
Open Data ◽  
Indian Society ◽  
Government Accountability ◽  
Open Government Data ◽  
Data Platform ◽  
Data Policy ◽  
Government Data ◽  
The Government ◽  
The Impact

This chapter analyzes the impact that an open data policy can have on the citizens of India. Especially in a scenario where government accountability and transparency has become the buzzword for good governance and further look at whether the availability of open data can become an agent for socio-economic change in India. What kind of change it can bring to India which has its own complexities when it comes to socio economic issues and whether the steps taken by the government are up to the mark to address these complexities through data sharing. In order to understand the changes which may occur for the good or the bad, the chapter looks at specific examples where the open data platform have been utilized in India and what impact they have had on the Indian society and how the citizens have responded to it.

scholarly journals Semantic and Syntactic Interoperability for Agricultural Open-Data Platforms in the Context of IoT Using Crop-Specific Trait Ontologies

2020 ◽  
Vol 10 (13) ◽  
pp. 4460
Author(s):  
Sahin Aydin ◽  
Mehmet Nafiz Aydin
Keyword(s):  
Open Data ◽  
Sensor Data ◽  
Agricultural Product ◽  
Site Specific ◽  
Domain Specific ◽  
Integration Approach ◽  
Data Platform ◽  
Specific Trait ◽  
Sensor Measurement ◽  
Iot Devices

In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor networks (WSNs) integrated into IoT devices. Semantic interoperability of data gathered from IoT devices is generally being carried out using existing sensor ontologies. However, crop-specific trait ontologies—which include site-specific parameters concerning hazelnut as a particular agricultural product—can be used to make links between domain-specific variables and sensor measurement values as well. This research seeks to address how to use crop-specific trait ontologies for linking site-specific parameters to sensor measurement values. A data-integration approach for semantic and syntactic interoperability is proposed to achieve this objective. An open-data platform is developed and its usability is evaluated to justify the viability of the proposed approach. Furthermore, this research shows how to use web services and APIs to carry out the syntactic interoperability of sensor data in agriculture domain.

scholarly journals Changing civil servants’ behaviour concerning the opening of governmental data: evaluating the effect of a game by comparing civil servants’ intentions before and after a game intervention

2020 ◽  
pp. 002085232096221
Author(s):  
Fernando Kleiman ◽  
Marijn Janssen ◽  
Sebastiaan Meijer ◽  
Sylvia JT Jansen
Keyword(s):  
Data Management ◽  
Civic Participation ◽  
Public Policies ◽  
Open Data ◽  
Civil Servants ◽  
Behavioural Intention ◽  
Privacy And Security ◽  
Economic Opportunities ◽  
Before And After ◽  
Game Intervention

Open data policies are increasingly being adopted by governments. However, civil servants find it challenging to comply with open data policies. Gaming can help civil servants to practise opening data and can change their behaviour to support the opening of more data. In this article, the effect of playing a game is evaluated in an experiment in which several factors that influence the opening of data are compared before and after the game. The benefits appeared in unexpected ways and areas. Data management, privacy and security knowledge was transferred using the game, the perception of benefits showed significant changes, and behavioural intention was positively affected. Points for practitioners Civil servants’ behaviour influences how public policies are enacted. The release of open data by governments is related by many as crucial for increasing public transparency and civic participation, and generating new economic opportunities. Games can influence the attitude of civil servants and, consequently, change governments’ decisions. Transferring knowledge and providing insights from new experiences can influence civil servants’ attitudes to open data. Moreover, governments can use games to influence civil servants’ attitudes.

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