scholarly journals Toward the Data Interoperability and Data Infrastructures Based on Open Science Paradigm

2019 ◽  
Vol 24 (4) ◽  
pp. 4_20-4_25
Author(s):  
Yasuhiro MURAYAMA
Keyword(s):  
Open Science ◽  
Data Interoperability ◽  
Data Infrastructures

scholarly journals Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

2021 ◽  
Author(s):  
Arianna Dagliati ◽  
Alberto Malovini ◽  
Valentina Tibollo ◽  
Riccardo Bellazzi
Keyword(s):  
Health Informatics ◽  
Data Privacy ◽  
Lessons Learned ◽  
Data Governance ◽  
Data Interoperability ◽  
Data Stewardship ◽  
Data Infrastructures ◽  
Healthcare Processes ◽  
Day By Day ◽  
Open Issues

Abstract The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world.

scholarly journals FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

Publications ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 21 ◽  
Author(s):  
Koenraad De Smedt ◽  
Dimitris Koureas ◽  
Peter Wittenburg
Keyword(s):  
Data Science ◽  
Open Science ◽  
Research Data ◽  
Use Cases ◽  
Digital Object ◽  
Data Interoperability ◽  
Actionable Knowledge ◽  
The Past ◽  
Research Communities ◽  
Digital Objects

Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability. As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers. In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data. The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions. We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC).

scholarly journals Shining a light on the cloud

Impact ◽  
2020 ◽  
Vol 2020 (8) ◽  
pp. 46-47
Author(s):  
Lucy Annette
Keyword(s):  
Social Sciences ◽  
Network Structure ◽  
Open Science ◽  
Horizon 2020 ◽  
The Social ◽  
Data Infrastructures

The Social Sciences & Humanities Open Cloud (SSHOC) is a 40-month-long project under the umbrella of the European Open Science Cloud (EOSC) and funded by Horizon 2020. This project unites 20 partner organisations as well as their 27 associates. SSHOC seeks to create interconnected data infrastructures focused on an integrated, cloud-based network structure.

scholarly journals Towards Interlinked FAIR Biodiversity Knowledge: The BiCIKL perspective

2021 ◽  
Vol 5 ◽  
Author(s):  
Lyubomir Penev ◽  
Dimitrios Koureas ◽  
Quentin Groom ◽  
Jerry Lanfear ◽  
Donat Agosti ◽  
...  
Keyword(s):  
Open Data ◽  
Open Science ◽  
Special Focus ◽  
Horizon 2020 ◽  
Biodiversity Knowledge ◽  
Multiple Data ◽  
Main Challenge ◽  
Data Infrastructures ◽  
Data Objects ◽  
Access To Data

The Horizon 2020 project Biodiversity Community Integrated Knowledge Library (BiCIKL) (started 1st of May 2021, duration 3 years) will build a new European community of key research infrastructures, researchers, citizen scientists and other stakeholders in biodiversity and life sciences. Together, the BiCIKL 14 partners will solidify open science practices by providing access to data, tools and services at each stage of, and along the entire biodiversity research and data life cycle (specimens, sequences, taxon names, analytics, publications, biodiversity knowledge graph) (Fig. 1, see also the BiCIKL kick-off presentation through Suppl. material 1), in compliance with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. The existing services provided by the participating infrastructures will expand through development and adoption of shared, common or interoperable domain standards, resulting in liberated and enhanced flows of data and knowledge across these domains. BiCIKL puts a special focus on the biodiversity literature. Over the span of the project, BiCIKL will develop new methods and workflows for semantic publishing and integrated access to harvesting, liberating, linking, and re-using sub-article-level data extracted from literature (i.e., specimens, material citations, sequences, taxonomic names, taxonomic treatments, figures, tables). Data linkages may be realised with different technologies (e.g., data warehousing, linking between FAIR Data Objects, Linked Open Data) and can be bi-lateral (between two data infrastructures) or multi-lateral (among multiple data infrastructures). The main challenge of BiCIKL is to design, develop and implement a FAIR Data Place (FDP), a central tool for search, discovery and management of interlinked FAIR data across different domains. The key final output of BiCIKL will the future Biodiversity Knowledge Hub (BKH), a one-stop portal, providing access to the BiCIKL services, tools and workflows, beyond the lifetime of the project.

scholarly journals Bridging the Data Talent Gap: Positioning the iSchool as an Agent for Change

2015 ◽  
Vol 10 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Liz Lyon ◽  
Aaron Brenner
Keyword(s):  
Data Science ◽  
Core Curriculum ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
University Of Pittsburgh ◽  
Data Infrastructures ◽  
New Research ◽  
Agent Of Change ◽  
The University

This paper examines the role, functions and value of the “iSchool” as an agent of change in the data informatics and data curation arena. A brief background to the iSchool movement is given followed by a brief review of the data decade, which highlights key data trends from the iSchool perspective: open data and open science, big data and disciplinary data diversity. The growing emphasis on the shortage of data talent is noted and a family of data science roles identified. The paper moves on to describe three primary functions of iSchools: education, research intelligence and professional practice, which form the foundations of a new Capability Ramp Model. The model is illustrated by mini-case studies from the School of Information Sciences, University of Pittsburgh: the immersive (laboratory-based) component of two new Research Data Management and Research Data Infrastructures graduate courses, a new practice partnership with the University Library System centred on RDM, and the mapping of disciplinary data practice using the Community Capability Model Profile Tool. The paper closes with a look to the future and, based on the assertion that data is mission-critical for iSchools, some steps are proposed for the next data decade: moving data education programs into the mainstream core curriculum, adopting a translational data science perspective and strengthening engagement with the Research Data Alliance.

scholarly journals On the Complexities of Federating Research Data Infrastructures

2021 ◽  
Vol 3 (1) ◽  
pp. 79-87
Author(s):  
Atif Latif ◽  
Fidan Limani ◽  
Klaus Tochtermann
Keyword(s):  
Open Access ◽  
Data Management ◽  
Open Data ◽  
Open Science ◽  
Research Data ◽  
Open Educational Resources ◽  
Digital Resources ◽  
Different Types ◽  
Data Infrastructures ◽  
Metadata Mapping

Federated Research Data Infrastructures aim to provide seamless access to research data along with services to facilitate the researchers in performing their data management tasks. During our research on Open Science (OS), we have built cross-disciplinary federated infrastructures for different types of (open) digital resources: Open Data (OD), Open Educational Resources (OER), and open access documents. In each case, our approach targeted only the resource “metadata”. Based on this experience, we identified some challenges that we had to overcome again and again: lack of (i) harvesters, (ii) common metadata models and (iii) metadata mapping tools. In this paper, we report on the challenges we faced in the federated infrastructure projects we were involved with. We structure the report based on the three challenges listed above.

Open research data in African academic and research libraries: a literature analysis

2020 ◽  
Vol 41 (6/7) ◽  
pp. 383-399
Author(s):  
Elisha R.T. Chiware
Keyword(s):  
Data Management ◽  
Open Science ◽  
Research Data ◽  
Content Type ◽  
Research Libraries ◽  
Research Data Management ◽  
Open Research ◽  
Research Infrastructures ◽  
Data Infrastructures ◽  
Management Services

PurposeThe paper presents a literature review on research data management services in African academic and research libraries on the backdrop of the advancing open science and open research data infrastructures. It provides areas of focus for library to support open research data.Design/methodology/approachThe literature analysis and future role of African libraries in research data management services were based on three areas as follows:open science, research infrastructures and open data infrastructures. Focussed literature searches were conducted across several electronic databases and discovery platforms, and a qualitative content analysis approach was used to explore the themes based on a coded list.FindingsThe review reports of an environment where open science in Africa is still at developmental stages. Research infrastructures face funding and technical challenges. Data management services are in formative stages with progress reported in a few countries where open science and research data management policies have emerged, cyber and data infrastructures are being developed and limited data librarianship courses are being taught.Originality/valueThe role of the academic and research libraries in Africa remains important in higher education and the national systems of research and innovation. Libraries should continue to align with institutional and national trends in response to the provision of data management services and as partners in the development of research infrastructures.

scholarly journals FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units

2020 ◽  
Author(s):  
Koenraad De Smedt ◽  
Dimitris Koureas ◽  
Peter Wittenburg
Keyword(s):  
Data Science ◽  
Open Science ◽  
Research Data ◽  
Use Cases ◽  
Digital Object ◽  
Data Interoperability ◽  
Actionable Knowledge ◽  
The Past ◽  
Research Communities ◽  
Digital Objects

Data science is facing the following major challenges: (1) developing scalable cross-disciplinary capabilities, (2) dealing with the increasing data volumes and their inherent complexity, (3) building tools that help to build trust, (4) creating mechanisms to efficiently operate in the domain of scientific assertions, (5) turning data into actionable knowledge units and (6) promoting data interoperability. As a way to overcome these challenges, we further develop the proposals by early Internet pioneers for Digital Objects as encapsulations of data and metadata made accessible by persistent identifiers. In the past decade, this concept was revisited by various groups within the Research Data Alliance and put in the context of the FAIR Guiding Principles for findable, accessible, interoperable and reusable data. The basic components of a FAIR Digital Object (FDO) as a self-contained, typed, machine-actionable data package are explained. A survey of use cases has indicated the growing interest of research communities in FDO solutions. We conclude that the FDO concept has the potential to act as the interoperable federative core of a hyperinfrastructure initiative such as the European Open Science Cloud (EOSC).

scholarly journals Hacking Infrastructures Together: Towards better interoperability of infrastructures

2021 ◽  
Vol 5 ◽  
Author(s):  
Sofie Meeus ◽  
Wouter Addink ◽  
Donat Agosti ◽  
Christos Arvanitidis ◽  
Mariya Dimitrova ◽  
...  
Keyword(s):  
Open Science ◽  
Research Community ◽  
Preliminary Evaluation ◽  
Data Standards ◽  
Pilot Projects ◽  
Biodiversity Data ◽  
Science Project ◽  
Innovative Research ◽  
Data Infrastructures ◽  
Access Data

The BiCIKL Project is born from a vision that biodiversity data are most useful if they are viewed as a network of data that can be integrated and viewed from different starting points. BiCIKL’s goal is to realize that vision by linking biodiversity data infrastructures, particularly for literature, molecular sequences, specimens, nomenclature and analytics. BiCIKL is an Open Science project creating Open FAIR data and services for the whole research community. BiCIKL intends to inspire novel, innovative, research and build services that can produce new and valuable knowledge, necessary for the protection of biodiversity and of our environment. BiCIKL will develop methods and workflows to harvest, link and access data extracted from literature. Yet, as the project gets underway, we need to better understand the existing infrastructures, their limitations, the nature of the data they hold, the services they provide and particularly how they can interoperate. To do this we organised a week-long hackathon where small teams worked on a number of pilot projects (Table 1) that were chosen to test the existing linkages between infrastructures and to extract novel ones. We will present our experience of running a hackathon and our evaluation of how successfully it achieved its aims. We will also give examples of the projects we conducted and how successful they were. Finally we will give our preliminary evaluation of what we learned about the interoperability of infrastructures and what recommendations we can give to improve their interoperability, whether that is improvements to the data standards used, the means to access the data and analyse them, or even the physical bandwidth and computational restrictions that limit the potential for research.

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