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Open data: The building block of 21st century (open) science

Corina Pascu, Jean-Claude Burgelman
2022 Data & Policy  
This paper identifies the potential benefits of data sharing and open science, supported by artificial intelligence tools and services, and dives into the challenges to make data open and findable, accessible  ...  , interoperable, and reusable (FAIR).  ...  digital objects of any kind.  ... 
doi:10.1017/dap.2022.7 fatcat:cadzj3vyc5eq7atwys4btwk6sm

Research Data In The Fraunhofer Digital Project : Creating A Fair Research Data Infrastructure And Culture

Oya Beyan, Andrea Wuchner, Dirk Eisengräber-Pabst, Christoph Quix, Christian Zaschke, Oliver Schumacher
2018 Workshop on Research Objects  
In our assessment we used the FAIR metrics, and as a result developed a set of recommendations.  ...  In this work we present the concept, early outcomes, and a FAIRness assessment of the research data repository approach.  ...  and innovation as well as digital business processes.  ... 
doi:10.5281/zenodo.1441011 dblp:conf/ro/BeyanWEQZS18 fatcat:blirckwa2zdclpa4muwk7oazpi

Find the data: Metadata and taxonomy for FAIR data sharing in Wind Energy

Anna Maria Sempreviva
2020 Zenodo  
Presentation about FAIR data in the Wind Energy Community at the first Workshop EERAdata Workshop No. 1: FAIR and open principles and METADATA for low carbon energy of the H2020 EERAdata  ...  Online FAIR into ACTION: The European Open Science Cloud 18-19 May 2020 EOSC • Digital ecosystem for researcher, Virtual Research Environment • Digital Market place for commercial purposes IRPWind Project  ...  Digitization Digital objects Data as open as possible as closed as necessary Changes the focus: From Available to Findable data ISSUE: How to make data findable but safe?  ... 
doi:10.5281/zenodo.5412367 fatcat:lh6e5eycovbxbm32nfw2u5uh7m

Author Biography

2019 Data Intelligence  
of the European Open Science Cloud.  ...  In 2014, Barend initiated the FAIR data initiative and in 2015, he was appointed Chair of the European Commission's High Level Expert Group for the "European Open Science Cloud", from which he retired  ...  the FAIR principles within the Digital Object Architecture.  ... 
doi:10.1162/dint_x_00052 fatcat:sdpitlr4nnhxho4gkmb3fmlati

The FAIR Principles: First Generation Implementation Choices and Challenges

Barend Mons, Erik Schultes, Fenghong Liu, Annika Jacobsen
2019 Data Intelligence  
INTRODUCTION TO THIS SPECIAL ISSUE "FAIR enough"?... A question asked on a daily basis in the rapidly evolving field of open science and the underpinning data stewardship profession.  ...  FAIR is a community journey The FAIR guiding principles are exactly that; a guide to create reusable research objects.  ...  and the rapid realization of the Internet of FAIR Data and Services.  ... 
doi:10.1162/dint_e_00023 fatcat:yz2x5wlvbnc77lzmgkn4l3yz24

Whose text, whose mining, and to whose benefit?

Christine L. Borgman
2020 Quantitative Science Studies  
These trends have failed to converge in ways that would facilitate text data mining, both for information retrieval and as a research method for the quantitative social sciences.  ...  Scholarly content has become open to read without becoming open to mine, due both to constraints by publishers and to lack of attention in scholarly communication.  ...  Thank you to the organizers of the forum for the invitation, and to Michael Scroggins and Morgan Wofford of UCLA for comments and discussion on earlier drafts.  ... 
doi:10.1162/qss_a_00053 fatcat:fhysnydplra6lfmmkkqwwsy7ia

D7.3 FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)

Yuri Demchenko, Lennart Stoy, Claudia Engelhardt, Vinciane Gaillard
2021 Zenodo  
"FAIR Competence Framework for Higher Education (Data Stewardship Professional Competence Framework)" is the third deliverable from Work Package 7 "FAIR Data Science and Professionalisation" of the FAIRsFAIR  ...  The proposed CF-DSP defines the set of competences that extend the competences initially defined in the EDISON Data Science Framework (EDSF).  ...  54 FAIRsFAIR "Fostering FAIR Data Practices In Europe" has received funding from the European Union's Horizon 2020 project call H2020-INFRAEOSC-2018-2020 grant agreement 831558  ... 
doi:10.5281/zenodo.5361917 fatcat:4hdxfe6sijcyfe6ot3z7vc7tcy

Open Science: Von Der Vision Zur Praxis

Katja Mayer
2016 Zenodo  
Die Präsentation im Rahmen der Veranstaltung European Pathways to Open Science widmet sich den unterschiedlichen Erwartungshaltungen zu Offenheit in Wissenschaft und Innovation, vorallem in Forschung und  ...  Science Strategien fungieren können.  ...  and closer to society.  ... 
doi:10.5281/zenodo.163155 fatcat:hufcn7qarrevppgyxbavfnf4cm

D6.2 Strategic Roadmap (Release 1)

Julia Vera, Kate Larkin, Xiaou Fang, Sara Pittonet, Dick Schaap, Pasquale Pagano
2021 Zenodo  
In the medium- and long-term future, B-C aspires to upscale this cyber platform, its resources, services and applications, together with a thriving community of Open Science service providers and users  ...  To deliver on this objective, it is piloting the development of a web-based cyber platform that will provide marine scientists with enhanced analytical capabilities.  ...  Open Science, underpinned by open data, will be the driving force behind this Digital Twin Ocean, which will rely on analytical models built by thematic experts in the marine domain and open the window  ... 
doi:10.5281/zenodo.6337484 fatcat:zoisrgu4zzhlvdvnaqkg5k4lxi

AGINFRA PLUS D8.3 - AGINFRA Future Science Recommendations

Nikos Manouselis
2020 Zenodo  
A variety of stakeholders, including all project partners, were invited to contribute to this volume titled "Digital Science Recommendations for Food & Agriculture".  ...  for promoting metrology in food and nutrition), as well as international stakeholders (such as the University of Guelph, Canada; and the Chinese Academy of Agricultural Sciences).  ...  First of all, the EU commission spread the FAIR principle and the notion of open science.  ... 
doi:10.5281/zenodo.3634634 fatcat:l3nhxnpl4naxthxjbcjjtiiyim

Identifying and addressing data asymmetries so as to enable (better) science

Stefaan Verhulst, Andrew Young
2022 Frontiers in Big Data  
This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical availability of privately-held data for open science, and a look at  ...  As a society, we need to become more sophisticated in assessing and addressing data asymmetries—and their resulting political and economic power inequalities—particularly in the realm of open science,  ...  However, these approaches can introduce certain risks to the principles and objectives of FAIR and open science. We describe a few of these risks and challenges here.  ... 
doi:10.3389/fdata.2022.888384 pmid:35923558 pmcid:PMC9339620 fatcat:zwcwxlf2n5bnzjyxrljx7ow25y

Projects Exchange 2021: Platforms #2

Kerry Levett
2021 Zenodo  
data - Tim Churches (Ingham Institute / UNSW) Australian Electrophysiology Data Analytics PlaTform (AEDAPT) - Tom Johnstone (Swinburne) Scalable Governance, Control & Management of FAIR Sensitive Research  ...  Data - Anitha Kannan (Monash) Australian Text Analytics Platform - Michael Haugh (UQ) - Time-Layered Cultural Map of Australia 2.0 - Bill Pascoe (U Newcastle) Australian Digital Observatory: Infrastructure  ...  Benefits:o Address the cost and availability challenges by providing FAIR access to dynamic digital datasets o Provision of technical and analytical data services to researchers so they can focus on their  ... 
doi:10.5281/zenodo.4642861 fatcat:wf5acxom5ve6fctiqsy5zsxm2q

Data science and AI in FinTech: an overview

Longbing Cao, Qiang Yang, Philip S. Yu
2021 International Journal of Data Science and Analytics  
Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems.  ...  Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and artificial intelligence (DSAI) techniques.  ...  -to what extent can autonomous, personalized and precision finance possibly transform personal finance, corporate finance, public finance and Internet finance?  ... 
doi:10.1007/s41060-021-00278-w fatcat:4qo3swacjbaaxh56p5bvhmjzqa

EOSC Glossary

EOSC Glossary Interest Group
2020 Zenodo  
Because of the terminological overlaps, the interdisciplinary nature of the European Open Science Cloud (EOSC) initiative creates the need for a glossary that facilitates and improves the communication  ...  concepts and terms, ISO 1087:2019 Terminology work and terminology science — Vocabulary and ISO 10241-1:2011 Terminological entries in standards — Part 1: General requirements and examples of presentation  ...  Science Cloud 31 European Open Science Cloud Association 31 external platform 31 FAIR data 32 FAIR digital object 32 FAIR guiding principles 32 FAIR principles 32 FDO 32 federated  ... 
doi:10.5281/zenodo.4471412 fatcat:qvmp7tr2lbagbooyokmrm4hqra

D7.2 Briefing on FAIR Competences and Synergies

Pedro Principe, André Vieira, Lennart Stoy, Claudia Engelhardt, Bregt Saenen, Joy Davidson, Angus Whyte, Yuri Demchenko, Patricia Herterich, Ellen Leenarts
2020 Zenodo  
This report provides an overview and analysis of different existing competence frameworks, resources and training initiatives in the field of RDM, Open Science and FAIR data, with the purpose to inform  ...  Public report from FAIRsFAIR project - Work Package 7 on "FAIR Data Science and Professionalisation".  ...  Data Mining, Business Analytics, others) ○ Data Science Engineering (including Software and Applications Engineering, Data Warehousing, Big Data Infrastructure and Tools) ○ Domain Knowledge and Expertise  ... 
doi:10.5281/zenodo.5361913 fatcat:5pebys7lfzesznumanjgmtb6fe
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