Výsledky vyhľadávania - "Working with challenging data: Sensitive data"

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

Improving the Transparency of Data Access Procedures

Autori: Braukmann, Ricarda orcid:0000-0001-6383- Thorpe, Deborah Ellen

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

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/15008872; oai:zenodo.org:15008872; https://doi.org/10.5281/zenodo.15008872

Dostupnosť: https://doi.org/10.5281/zenodo.15008872
https://zenodo.org/records/15008872

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

Autori: Houweling, Jente (Johanne) Margrieta orcid:0009-0005-3680- Leenarts, Ellen a ďalší

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

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14975657; oai:zenodo.org:14975657; https://doi.org/10.5281/zenodo.14975657

Dostupnosť: https://doi.org/10.5281/zenodo.14975657
https://zenodo.org/records/14975657

DMPs and Sensitive Data

Autori: Closen, Marcus Smith, Victoria Brooks

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

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14975651; oai:zenodo.org:14975651; https://doi.org/10.5281/zenodo.14975651

Dostupnosť: https://doi.org/10.5281/zenodo.14975651
https://zenodo.org/records/14975651

Barriers to Data Sharing in Infrastructure Systems Engineering

Autori: Matthews, Brian orcid:0000-0002-3342- Cartmell, Katie a ďalší

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

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14933130; oai:zenodo.org:14933130; https://doi.org/10.5281/zenodo.14933130

Dostupnosť: https://doi.org/10.5281/zenodo.14933130
https://zenodo.org/records/14933130

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

Autori: Tuli, Mary Ann orcid:0000-0002-4667- Fan, Yannan a ďalší

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

Relation: https://zenodo.org/communities/idcc25/; https://zenodo.org/records/14933132; oai:zenodo.org:14933132; https://doi.org/10.5281/zenodo.14933132

Dostupnosť: https://doi.org/10.5281/zenodo.14933132
https://zenodo.org/records/14933132