Výsledky vyhľadávania - "Working with challenging data: Sensitive data, retrieval and secure curation"

The Generalist Repository 2.0: Designing a Discipline-Agnostic Repository for Sensitive Research Data

Autori: Badger, Kelsey Ramser, Nick

Predmety: Data Sharing, IDCC25, Cross-campus coordination, Generalist repository, Sensitive data, Curation infrastructure: Tools, systems and services that are in development, Working with challenging data: Sensitive data, retrieval and secure curation, CKAN

Developing a Trusted Stata ADO Repository for Trusted Research Environments

Autori: Tyler, Allison Gyimes, Istvan Laszlo

Predmety: Working with challenging data: Data on a large scale: big data or large collections of long-tail data, IDCC25, STATA, Data user support, Software infrastructure, Working with challenging data: Sensitive data, retrieval and secure curation

An International Data Space for OA Book Usage Data Exchange Across Public and Private Stakeholders - Project Update

Autori: Rabar, Ursula

Predmety: Working with challenging data: Data on a large scale: big data or large collections of long-tail data, Sustainability and strategy: Work on curation processes, techniques, costs, and workflows, IDCC25, OA books, data sharing, Legal and ethical issues: Privacy, Sharing data: Data sovereignty and bringing data back to communities, Curation infrastructure: Proposals for new approaches to large-scale service delivery, usage data, data space, Curation infrastructure: Tools, systems and services that are in development, Working with challenging data: Sensitive data, retrieval and secure curation

Nuclear Non-Proliferation, Satellite Images, AI, and Risk

Autori: Frank, Rebecca

Predmety: satellite image data, IDCC25, Curation infrastructure: Movements in Open and Citizen Science and trust in digital curation, expertise, Sustainability and strategy: AI for data re-use -- automated data collection, cleaning, analysis, and visualisation, Working with challenging data: Sensitive data, retrieval and secure curation, open source intelligence, risk

Celebrating Twenty Years Of DANS Data Repositories

Autori: Touber, Jetze Braukmann, Ricarda Hof, Cees

Predmety: Sustainability and strategy: Work on curation processes, techniques, costs, and workflows, IDCC25, Curation infrastructure: Movements in Open and Citizen Science and trust in digital curation, Data publishing, Data dissemination, Data reuse, Curation infrastructure: Tools, systems and services that are in development, Data archiving, Working with challenging data: Sensitive data, retrieval and secure curation, Data discovery

Open Science and Open Government at RIVM: A Balancing Act between Data Privacy and Utility

Autori: Houweling, Jente (Johanne) Margrieta Leenarts, Ellen Kooijman, Marjolein a ďalší

Predmety: IDCC25, Open government, Lightning Talks, Legal and ethical issues: Privacy, Legal and ethical issues: Sharing health and sharing genomic data, Privacy, Sharing data: Data sovereignty and bringing data back to communities, Statistical disclosure control, Open science, Working with challenging data: Sensitive data, retrieval and secure curation

DMPs and Sensitive Data

Autori: Closen, Marcus Smith, Victoria Brooks

Predmety: IDCC25, Lightning Talks, Education and training: What innovations are being explored?, Sensitive data, Controlled access, Data management planning, Working with challenging data: Sensitive data, retrieval and secure curation

Barriers to Data Sharing in Infrastructure Systems Engineering

Autori: Matthews, Brian Cartmell, Katie Hines, Adrian a ďalší

Predmety: IDCC25, Working with challenging data: Universal standards and expectations and that of context and discipline specific adaptations, Lightning Talks, Data Restrictions, Sustainability and strategy: Analyses of the costs and benefits of curation, Engineering Sciences, Data Sharing Barriers, Working with challenging data: Sensitive data, retrieval and secure curation

Promoting Fair Principles And Research Integrity Through Manual Curation Of Manuscripts at the Point of Submission

Autori: Tuli, Mary Ann Fan, Yannan Hunter, Christopher a ďalší

Predmety: Working with challenging data: Data on a large scale: big data or large collections of long-tail data, IDCC25, Legal and ethical issues: Trusting individuals to have power over their own data and its (re)use, Working with challenging data: Universal standards and expectations and that of context and discipline specific adaptations, Legal and ethical issues: Intellectual Property Rights, legal and policy issues around AI training data collection and use, Working with challenging data: Sensitive data, retrieval and secure curation, Sustainability and strategy: Work on curation processes, techniques, costs, and workflows, Big data, Lightning Talks, Legal and ethical issues: Privacy, Data sharing, Sharing data: Demonstrating research integrity, Legal and ethical issues: Artificial Intelligence (AI) and Machine Learning, Open Science journal, FAIR

Improving the Transparency of Data Access Procedures

Autori: Braukmann, Ricarda Thorpe, Deborah Ellen

Predmety: open access, FAIR data, IDCC25, Access Conditions, research, Legal and ethical issues: Trusting individuals to have power over their own data and its (re)use, sensitive data, Curation infrastructure: Innovative research and exploration into new curation methods, Data reuse, Legal and ethical issues: Sharing health and sharing genomic data, Restricted Access, Accessibillity, Working with challenging data: Sensitive data, retrieval and secure curation, Curation infrastructure: Movements in Open and Citizen Science and trust in digital curation, Legal and ethical issues: Privacy, open science, Papers, Access restrictions, Sensitive data, Data Reuse, research data management, open research, Curation infrastructure: Tools, systems and services that are in development, restricted access data, Access conditions