Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Research Data & the GDPR: How Open is Open? (updated version)OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Research Data & the GDPR: How Open is Open?OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
Legal and ethical considerations for sharing research dataOpenAIRE
Irena Vipavc Brar ( Social Sciences Data Archives / CESSDA)
Aimed at researchers in social sciences, but of interest for other fields as well, Irena Vipavc Brar gives an overview of the most important legal and ethical considerations when sharing research data. She discusses the implications of GDPR for scientific research, informed consent and ethical aspects of dealing with personal data, and legal issues.
Links: https://www.cessda.eu/Research-Infrastructure/Training/Expert-Tour-Guide-on-Data-Management
An itinerary for FAIR and privacy respecting data-driven innovation and researchMarlon Domingus
My talk for the National eScience Symposium 2017 in the Internet of Things track, October 12 2017.
TALK: An itinerary for FAIR and privacy respecting data-driven innovation and research
ABSTRACT: The big picture of the complex landscape of e-science, technology, legal and ethical responsibilities addressed. How to apply privacy values and responsibilities to new technological platforms like the IoT? Can we find an approach that ensures a high level of privacy protection and at the same time supports the interest of researchers and increase innovation? A practical recap of the most important recommendations for researchers creating collaborations and infrastructures.
20200429_Data, Data Ownership and Open ScienceOpenAIRE
Presentation by Thomas Margoni (Senior Lecturer in Intellectual Property and Internet Law, Co-director, CREATe, University of Glasgow) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200429_Research Data & the GDPR: How Open is Open? (updated version)OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on April 29th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_OpenAIRE Legal Policy Webinar: GDPR and Sharing DataOpenAIRE
Presentation by Jacques Flores Dourojeanni (Research Data Management Consultant Utrecht University Library), as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
20200504_Research Data & the GDPR: How Open is Open?OpenAIRE
Presentation by Prodromos Tsiavos (Senior Legal Advisor - ARC/ Director - Onassis Group) as delivered during the OpenAIRE Legal Policy Webinar series on May 4th 2020.
More information and recordings: https://www.openaire.eu/item/openaire-legal-policy-webinars
Legal and ethical considerations for sharing research dataOpenAIRE
Irena Vipavc Brar ( Social Sciences Data Archives / CESSDA)
Aimed at researchers in social sciences, but of interest for other fields as well, Irena Vipavc Brar gives an overview of the most important legal and ethical considerations when sharing research data. She discusses the implications of GDPR for scientific research, informed consent and ethical aspects of dealing with personal data, and legal issues.
Links: https://www.cessda.eu/Research-Infrastructure/Training/Expert-Tour-Guide-on-Data-Management
An itinerary for FAIR and privacy respecting data-driven innovation and researchMarlon Domingus
My talk for the National eScience Symposium 2017 in the Internet of Things track, October 12 2017.
TALK: An itinerary for FAIR and privacy respecting data-driven innovation and research
ABSTRACT: The big picture of the complex landscape of e-science, technology, legal and ethical responsibilities addressed. How to apply privacy values and responsibilities to new technological platforms like the IoT? Can we find an approach that ensures a high level of privacy protection and at the same time supports the interest of researchers and increase innovation? A practical recap of the most important recommendations for researchers creating collaborations and infrastructures.
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Part of the "2016 Annual Conference: Big Data, Health Law, and Bioethics" held at Harvard Law School on May 6, 2016.
This conference aimed to: (1) identify the various ways in which law and ethics intersect with the use of big data in health care and health research, particularly in the United States; (2) understand the way U.S. law (and potentially other legal systems) currently promotes or stands as an obstacle to these potential uses; (3) determine what might be learned from the legal and ethical treatment of uses of big data in other sectors and countries; and (4) examine potential solutions (industry best practices, common law, legislative, executive, domestic and international) for better use of big data in health care and health research in the U.S.
The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School 2016 annual conference was organized in collaboration with the Berkman Center for Internet & Society at Harvard University and the Health Ethics and Policy Lab, University of Zurich.
Learn more at http://petrieflom.law.harvard.edu/events/details/2016-annual-conference.
UK & EU Freedom of Information & Data Protection: Continuity & ChangeDavid Erdos
This presentation explores continuities and changes in the interface between freedom of information and personal information protection at pan-EU level and in the UK under the amended law of the Data Protection Act 2018 and Regulation 2018/1725. Comparing both regimes, it especially focuses on fairness and balancing, the requirement to demonstrate the "necessity" of processing, the position of the deceased and the relationship between disclosure, transparency and sensitive personal data rules.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ARDC
Dr Jeff Christiansen (QCIF) introduced med.data.edu.au, a national facility to provide petabyte-scale research data storage, and related high-speed networked computational services, to Australian medical and health research organisations.
Webinar: https://www.youtube.com/watch?v=5jwBwDJrWAs
Jeff Christiansen Snippet: https://www.youtube.com/watch?v=PV_vuUKRm6w
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-storing-and-publishing-health-and-medical-data-16052017
data mining privacy concerns ppt presentationiWriteEssays
Data Mining and privacy Presentation
This is a sample presentation on data mining. The presetation looks at the critical Issues In Data Mining: Privacy, National Security And Personal Liberty Implications Of Data Mining
ANDS health and medical data webinar 23 May 2017. Ethics, Legal issues and Da...ARDC
Presentation from Phoebe Macleod, Legal Counsel and Business Development Manager, and Amandine Philippart De Foy, Paralegal, from the Murdoch Children’s Research Institute.
Phoebe and Amandine presented on legal considerations for data sharing.
Webinar: https://www.youtube.com/watch?v=pwtlr7BtdQU
Full Webinar: https://youtu.be/FSlA1noJ1VU
This Presentation covers data mining, data mining techniques,
data analysis, data mining subtypes, uses of data mining, sources of data for mining, privacy concerns.
Presentation slides from a talk by Gareth Knight which discussed the need to consider data sharing activities in academic citizenship, different approaches that may be taken to publish data associated with publications, and the opportunities presented by data journals
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
How problems with data protection affect science researchers, especially when sharing large datasets with researchers around the globe: issues and solutions?
OpenAIRE webinars during OA week 2017: Legal aspects of Open Science (Thomas ...OpenAIRE
'A European legal perspective with a specific focus on licensing'. Delivered by Thomas Margoni as part of the webinar 'Legal Aspects of Open Science' on October 26, 2017
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Part of the "2016 Annual Conference: Big Data, Health Law, and Bioethics" held at Harvard Law School on May 6, 2016.
This conference aimed to: (1) identify the various ways in which law and ethics intersect with the use of big data in health care and health research, particularly in the United States; (2) understand the way U.S. law (and potentially other legal systems) currently promotes or stands as an obstacle to these potential uses; (3) determine what might be learned from the legal and ethical treatment of uses of big data in other sectors and countries; and (4) examine potential solutions (industry best practices, common law, legislative, executive, domestic and international) for better use of big data in health care and health research in the U.S.
The Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics at Harvard Law School 2016 annual conference was organized in collaboration with the Berkman Center for Internet & Society at Harvard University and the Health Ethics and Policy Lab, University of Zurich.
Learn more at http://petrieflom.law.harvard.edu/events/details/2016-annual-conference.
UK & EU Freedom of Information & Data Protection: Continuity & ChangeDavid Erdos
This presentation explores continuities and changes in the interface between freedom of information and personal information protection at pan-EU level and in the UK under the amended law of the Data Protection Act 2018 and Regulation 2018/1725. Comparing both regimes, it especially focuses on fairness and balancing, the requirement to demonstrate the "necessity" of processing, the position of the deceased and the relationship between disclosure, transparency and sensitive personal data rules.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ARDC
Dr Jeff Christiansen (QCIF) introduced med.data.edu.au, a national facility to provide petabyte-scale research data storage, and related high-speed networked computational services, to Australian medical and health research organisations.
Webinar: https://www.youtube.com/watch?v=5jwBwDJrWAs
Jeff Christiansen Snippet: https://www.youtube.com/watch?v=PV_vuUKRm6w
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-storing-and-publishing-health-and-medical-data-16052017
data mining privacy concerns ppt presentationiWriteEssays
Data Mining and privacy Presentation
This is a sample presentation on data mining. The presetation looks at the critical Issues In Data Mining: Privacy, National Security And Personal Liberty Implications Of Data Mining
ANDS health and medical data webinar 23 May 2017. Ethics, Legal issues and Da...ARDC
Presentation from Phoebe Macleod, Legal Counsel and Business Development Manager, and Amandine Philippart De Foy, Paralegal, from the Murdoch Children’s Research Institute.
Phoebe and Amandine presented on legal considerations for data sharing.
Webinar: https://www.youtube.com/watch?v=pwtlr7BtdQU
Full Webinar: https://youtu.be/FSlA1noJ1VU
This Presentation covers data mining, data mining techniques,
data analysis, data mining subtypes, uses of data mining, sources of data for mining, privacy concerns.
Presentation slides from a talk by Gareth Knight which discussed the need to consider data sharing activities in academic citizenship, different approaches that may be taken to publish data associated with publications, and the opportunities presented by data journals
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
How problems with data protection affect science researchers, especially when sharing large datasets with researchers around the globe: issues and solutions?
OpenAIRE webinars during OA week 2017: Legal aspects of Open Science (Thomas ...OpenAIRE
'A European legal perspective with a specific focus on licensing'. Delivered by Thomas Margoni as part of the webinar 'Legal Aspects of Open Science' on October 26, 2017
Legal Issues in Research Data Collection and Sharing: An Introduction by EUDA...EUDAT
| www.eudat.eu | v1.0, June 2014 - This course provides guidelines on the collection, usage and sharing of data in research by providing the basic information related to ethical and legal obligations. The course is made up of three modules (further modules will be added in the next months): 1. Intellectual Property Rights. 2. Personal Data. 3. Service Provider Liability & Terms of Service.
Who is it for?: Researchers, Data Managers, General public.
Legal issues in dealing with Research Data - new OpenAIRE guides for research...OpenAIRE
OpenAIRE webinar, March 29, 2019, by the OpenAIRE support team: Thomas Margoni, University of Glasgow, Prodromos Tsiavos, ATHENA, Pedro Principe, University of Minho.
Sharing Scientific Data: Legal, Normative and Social IssuesKaitlin Thaney
A look at the legal, normative and social issues surrounding data sharing and the ways we've chosen to address this increasingly complex space.
Presented in Beijing on 25 March 2009.A l
A brief introduction to Linked Data Licensing, Rights Expression Languages and Linked Data Business Models given on September 6, 2013 at the I-SEMANTICS 2013, the 9th international conference on semantic systems, in Graz, Austria.
If you are working on a computational text analysis project and have wondered how to legally acquire, use, and publish text and data, this workshop is for you! We will teach you 5 legal literacies (copyright, contracts, privacy, ethics, and special use cases) that will empower you to make well-informed decisions about compiling, using, and sharing your corpus. By the end of this workshop, and with a useful checklist in hand, you will be able to confidently design lawful text analysis projects or be well positioned to help others design such projects.
The aim of the webinar is to introduce the audience, in particular non-lawyers, to the legal framework of text and data mining, focusing on the main aspects of the law at the European level.
Text Data Mining & Publishing: Legal LiteraciesRachael Samberg
If you are working on a computational text analysis project and have wondered how to legally acquire, use, and publish text and data, this workshop is for you! We will teach you 5 legal literacies (copyright, contracts, privacy, ethics, and special use cases) that will empower you to make well-informed decisions about compiling, using, and sharing your corpus. By the end of this workshop, and with a useful checklist in hand, you will be able to confidently design lawful text analysis projects or be well positioned to help others design such projects. Consider taking alongside Copyright and Fair Use for Digital Projects. Comes with associated exercise: http://ucblib.link/rw
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...Konstantinos Demertzis
The evolution of the Internet of Things is significantly a
ected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR).
The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process the data concerning them. ADVOCATE is an advanced framework that fully complies with the requirements of GDPR, which, with the extensive use of blockchain and artificial intelligence technologies, aims to provide an environment that will support users in maintaining control of their personal data in the IoT ecosystem. This paper proposes and presents the Intelligent Policies Analysis Mechanism (IPAM) of the ADVOCATE framework, which, in an intelligent and fully automated manner, can identify conflicting rules or consents of the user, which may lead to the collection of personal data that can be used for profiling. In order to clearly identify and implement IPAM, the problem of recording user data from smart entertainment devices using Fuzzy Cognitive Maps (FCMs) was simulated. FCMs are an intelligent decision-making system that simulates the processes of a complex system, modeling the correlation base, knowing the behavioral and balance specialists of the system. Respectively, identifying conflicting rules that can lead to a profile, training is done using Extreme Learning Machines (ELMs), which are highly ecient neural systems of small and flexible architecture that can work optimally in complex environments.
SWOT of Bigdata Security Using Machine Learning Techniquesijistjournal
This paper gives complete guidelines on BigData, Different Views of BigData, etc.How the BigData is useful to us and what are the factors affecting BigData all the things are covered under this paper. The paper also contains the BigData Machine learning techniques and how the Hadoop comes into the picture. It also contains the what is importance of BigData security. The paper mostly covers all the main point that affect Big Data and Machine Learning.
The Regulation of Text and Data MiningLIBER Europe
The Regulation of Text and Data Mining (Melanie Dulong de Rosnay, CNRS, France). This presentation was one of the 10 most highly ranked at LIBER's Annual Conference 2014 in Riga, Latvia. Learn more: www.libereurope.eu
This summarises my full report on the role and responsibilities of online intermediaries re copyright infringement, June 2011. The conclusion is that the rush to graduated response solutions is premature given their drawbacks and that legal attention should first go to creating better legal frameworks for facilitating legal online content delivery.
OpenAIRE Content Providers Community Call, November 4th, 2020
This call was focused on the PROVIDE future developments, functionalities wishlist and PROVIDE service in EOSC.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recordings: https://youtu.be/wY4fOS767Us
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE in the European Open Science Cloud (EOSC)OpenAIRE
Openness is the success factor for EOSC. OpenAIRE has been working in delivering an open access scholarly communication in Europe for the past 10 years and we now present how our work fits into the EOSC core developments
OpenAIRE Content Providers Community Call, October 7th, 2020
This call was focused on the OpenAIRE Broker Service, specifying how the service works to deploy the enrichment events to the Content Providers managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recording: https://youtu.be/3sF4B58EGcs
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE Content Providers Community Call, July 1st, 2020
This call was focused on Data Repositories namely the OpenAIRE Research Graph and Data Repositories, the OpenAIRE Content Acquisition Policy, and the Guidelines for Data Archive Managers.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Follow the Community activities at https://www.openaire.eu/provide-community-calls
OpenAIRE Content Providers Community Call. May 6th, 2020.
This Call focused the presentation of the new User Interface of Provide Dashboard and the presentation of 4 use cases using the Provide service.
Was also an opportunity to share the most recent updates and novelties in the OpenAIRE Content Provider Dashboard, and to get feedback from community.
Recording available here: https://youtu.be/J4m_ryRxtnY
COVID-19: Activities, tools, best practice and contact points in GreeceOpenAIRE
Presentation from the webinar organized by the Greek OpenAIRE and RDA Nodes (Athena RC) and Elixir-GR to inform participants of EU and national efforts, in collaboration with the following research organizations: Flemming, CERTH, HEAL-Link, Demokritos, Univ. of Athens (Medical School).
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates; Main topic: DSpace-CRIS for OpenAIRE: implementation of the CRIS guidelines and beyond; 3) Community questions & comments.
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE Content provider dashboard updates;
2) OpenAIRE aggregation and enrichment processes: specifications and good practices;
3) Community questions & comments.
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE infrastructure updates;
2) Main topic: OpenAIRE Broker Service;
3) Community questions & comments.
Presentation of the 2nd Content Providers Community Call, targeting the following topics: 1) OpenAIRE infrastructure updates;
2) Main topic: OpenAIRE Usage Statistics service: technical details and upcoming developments;
3) Community questions & comments.
Presentation of the 1st Content Providers Community Call, targeting the following topics:
1) OpenAIRE infrastructure updates;
2) Main topic: OpenAIRE Guidelines V4: specifications and implementation roadmap and use cases;
3) Community questions & comment.
Slides accompanying the OpenAIRE Research Graph consultation webinar as held on Janyary 30th 2020.
Presenter: Andrea Mannocci
Recording: https://youtu.be/PCwXMDQb3r8
Presenter: Prodromos Tsiavos
This OpenAIRE and EOSC-hub webinar covers Horizon 2020 rules and good practices approaches to addressing Open Data, Open Science and research results exploitation in Consortium Agreements and in Data Management Plans. It also specifically covers the issues of concern between Open Science and exploitation (patents, spin offs/ outs, confidentiality), business planning and licensing strategies.
Webinar page: https://www.openaire.eu/item/open-science-and-research-results-exploitation-friends-or-foes
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
1. Data, Data Ownership and Open
Science
OpenAIRE Legal Policy Webinars
4 May 2020
Dr. Thomas Margoni
Senior Lecturer in Intellectual Property and Internet Law
Co-director, CREATe
Coordinator, IP LLM Programme
School of Law – CREATe
University of Glasgow
www.create.ac.uk
thomas.margoni@glasgow.ac.uk
2. Example: OpenMinTeD
Copyright theory (and sometimes copyright law) says: no
E.g.: ideas, procedures, methods of operation, mathematical concepts, etc are
not protected by copyright law, only original expressions which constitute
intellectual creations (e.g. Arts. 2 WCT, 9(2) TRIPs, Art. 2 Berne and most
legal traditions requiring originality). Factual information and data as such fail
to qualify for copyright protection.
Other areas of law may say yes, but usually in specifically identified
situations, or with limited remedies e.g.:
1) Trade secrets, confidentiality (only if secret and limited remedies)
2) Contracts (privity, enforceability and remedies)
3) Data protection (only qualifying data and scope is protection)
4) PSI (reuse by default)
5) …
thomas.margoni@glasgow.ac.uk
Is data owned?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
3. Example: OpenMinTeD
Databases: Are protected by copyright if the selection or arrangement is
original. However, what is protected in this case is the selection or
arrangement (e.g. the structure of the database), not the contained data.
● This means that if the original database is composed of copyright
protected elements (e.g. a DB of journal articles, films, songs, etc) the
content of the DB is protected NOT because is data, but because they
are works of authorship in their own right.
● If the original database is composed of non protected information (e.g.
temperature measurements, numbers or other factual information), the
copyright protecting the structure does NOT extend to the underlying
data, which remains free to reuse from a copyright point of view (but you
should always verify this is not personal or confidential data, etc.).
thomas.margoni@glasgow.ac.uk
Is data owned?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
4. Example: OpenMinTeD
Databases: In the EU, non original databases are also protected (heard of the
SGDR?). In this case, a database whose making required a substantial
investment in obtaining, verifying or presenting (NOT creating) the data is
protected by Sui Generis Database Right (SGDR, a “lighter” form of
copyright), therefore effectively protecting obtained (but not created) data.
Copyright and SGDR are cumulable, so an original database (structure)
whose making required a substantial investment may enjoy a double form of
protection. If the “data” are in fact works (a database of journal articles) there
are 3 layers of rights protecting that database. All of them have to be properly
authorised if you want to reuse that database (e.g. this is way it is important to
use the right licence, e.g. CC BY 4.0).
thomas.margoni@glasgow.ac.uk
Is data owned?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
5. Example: OpenMinTeD
What about the “data” contained in a work (not in a database)? Can you
extract statistical information about the English language from, e.g. a Harry
Potter novel?
In theory yes (the right to read is the right to mine), but in practice no (you
need a TDM exception).
If we take a closer look, EU copyright law (doesn’t say anything explicit
but) often means: YES.
Interplay between Arts. 2 and 5 InfoSoc Directive requires to obtain an
authorisation for data capturing/extraction + SGDR.
thomas.margoni@glasgow.ac.uk
Is data owned?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
6. Example: OpenMinTeD
Modern data analytics (e.g. TDM, machine learning etc.) normally extracts principles,
facts, data, correlations, etc, which copyright theory stipulates that are not protected,
thus the extraction of those unprotected elements from protected works should not
need an exception (non consumptive uses).
Main obstacle of EU copyright framework is that it harmonised rights broadly
(reproduction, redistribution, communication to the public, etc), but did not do the same
with exceptions (exhaustive but not mandatory list, narrow interpretation, etc). There is
no flexible standard in the EU such as there are in many other countries around the
world.
Result: Often data contained in works are de facto or de jure (for non original
databases) protected (needs authorisation) in the EU but may not abroad.
thomas.margoni@glasgow.ac.uk
Is data owned?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
7. Example: OpenMinTeD
By excluding protection of ideas, principles, factual information, non original
expressions the law’s goal is avoid the creation of monopolies over the
information needed by everyone to think, communication and create new
knowledge and to avoid the distortion of scientific freedoms and fundamental
rights that it may cause.
By excluding data created in databases the law’s goal is to avoid as much as
possible so-called “single source databases” due to their anti-competitive and
monopolistic nature.
Ideas and data as such are the basic bricks of human knowledge and should
not be owned but held in the public domain for everyone to have access to it,
but also to verify, reuse and replicate.
By affording protection to the obtaining of data structured in qualifying
databases against substantial extractions a limited reward for the investment
is given to the maker under EU law.
thomas.margoni@glasgow.ac.uk
Is data owned
and why does it matter for OS?
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
8. Example: OpenMinTeD
1) Text and Data mining: computational analysis of anything recorded in the
work (sec. 29A CDPA) or any automated analytical technique aiming to
analyse text and data in digital form in order to generate information such as
patterns, trends and correlations (Art. 3 CDSM);
2) Scope: exception to the right of reproduction (both);
3) Beneficiaries: Non commercial research (29A CDPA), research
organisations with lawful access for research purposes (Art. 3 CDSM), anyone
for any purpose but can be opted-out (Art. 4 CDSM).
4) Relationship to contracts: Cannot be limited by contract (except for Art. 4
CDSM).
5) Relationship to technology: Can be limited by technological measures
(integrity measures and TPM)
thomas.margoni@glasgow.ac.uk
Example: TDM exceptions
thomas.margoni@glasgow.ac.uk
9. Example: OpenMinTeD
OpenAIRE has 3 published guides for researchers at the moment:
● How do I know if my research data is protected?
https://www.openaire.eu/how-do-i-know-if-my-research-data-is-protected
● How do I license my research data?
https://www.openaire.eu/how-do-i-license-my-research-data
● Can I reuse someone else’s research data?
https://www.openaire.eu/can-i-reuse-someone-else-research-data
And a companion guide to help address open science issue for repositories:
● Making your repository Open
https://www.openaire.eu/making-your-repository-open
CREATe Open Science resource:
● https://www.create.ac.uk/open-science/
thomas.margoni@glasgow.ac.uk
Guides
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
10. Example: OpenMinTeD
● Open Access: Everything under CC BY 4.0/CC0 (or similar) can be copied,
reused, redistributed and mined (e.g. Wikipedia, www.copyrightuser.org) for any
purpose
● OpenCovidPledge: “to make our intellectual property available free of charge
for use in ending the COVID-19 pandemic”: www.opencovidpledge.org with
companies such as Amazon, Facebook, Hewlett Packard Enterprise, IBM,
Microsoft declaring adoption of either or both licenses.
● Wellcome statement on ‘Sharing research data and findings relevant to the
novel coronavirus (COVID-19) outbreak’:
https://wellcome.ac.uk/press-release/sharing-research-data-and-findings-relevan
t-novel-coronavirus-covid-19-outbreak
● Joint Comment to WIPO on Copyright and Artificial Intelligence,
http://infojustice.org/archives/42009#members
thomas.margoni@glasgow.ac.uk
Recent initiatives
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
11. Example: OpenMinTeD
● Q: “How can we guarantee the reuse of data.”
A: Short answer: CC0 (long answer is explained in the Guides and depends on if
it’s just raw data, an original database, a non original database, etc).
● Q: “… the Open Data directive and IPR may conflict. For instance, when
data published by a government body are re-used by research consortium
consisting of a public-private partnership, I could imagine that the
consortium would want to restrict access to the (processed) data, claiming
intellectual property rights, while the original data ought to be open,
based on the Open Data directive…”.
A: Depends on a number of factors. In the simplest sceario Open Data requires
reusability. If there are no rights covering the data, then they can be reused in
any way (including within a proprietary model). If data are protected then usually
they come with a licence (CC or Open Government) and that licence must be
followed.
thomas.margoni@glasgow.ac.uk
Some questions (and tentative
answers...)
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
12. Example: OpenMinTeD
● “Q: How and under which 'umbrella' can data legally be protected, if so
required? Copyright, Database right, ownership right, protection of trade
secrets?”
A: Data as such cannot be protected by copyright or SGDR. Data structured in a
database may be protected by SGDR if there is substantial investment in
obtaining, verifying or presenting (not creating) data. Trade secret may protect
data but under certain conditions. Contracts as well.
● Q: “How can information be retrieved without being considered
plagiarism?”
A: Ideas and facts are not protected. Original expressions are. Do not copy
original expressions.
● Q: “İs it legal to summarise my thesis as an article that may publish in the
international journal?”
A: If it’s your thesis and you did not transfer your copyright (e.g. to a publisher)
you can do whatever you want (from a copyright point of view).
thomas.margoni@glasgow.ac.uk
Some questions (and tentative
answers...)
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
13. Example: OpenMinTeD
● Q: “Im interested in how to make researchers understand that is important
to protect results (IPR) before publishing the results. Many of them are
extremely focused in publishing the results and eventually have some
problems when trying to protect them (via patent for example). Thanks in
advance”
A: In general Universities have (or should have) TTOs which advise on these
matters. In principle, if you disclose your invention before obtaining a patent, this
disqualifies you from obtaining a patent later on. This however only applies to
certain field (humanities are less affected by patents than bio-med). Also, it
depends on the overall strategy of the University. Patents are an important tool in
a IP portfolio, but should not be over-used, the risk is to lock in important
knowledge created with (very often) public funds.
It should be kept in mind that differently from Patents, Copyright (articles,
software, database, books, images, films, etc) and SGDR (database) work
automatically, so authors are automatically protected (no need to register). Once
you are protected publish with the right Open Access licence (e.g. CC0 or CC BY
4.0) to get the best mix of visibility, re-usability and also protection (e.g. the BY
requires attribution).
thomas.margoni@glasgow.ac.uk
Some questions (and tentative
answers...)
thomas.margoni@glasgow.ac.ukthomas.margoni@glasgow.ac.uk
14. Open Access Week 2019
Thank you!
Dr. Thomas Margoni
Senior Lecturer in Intellectual Property and Internet Law
Co-director, CREATe
Director, IP LLM Programme
School of Law – CREATe
University of Glasgow
www.create.ac.uk
thomas.margoni@glasgow.ac.uk