Big data in contemporary electron microscopy: challenges and opportunities in data transfer, compute and management
D Poger, L Yen, F Braet - Histochemistry and Cell Biology, 2023 - Springer
The second decade of the twenty-first century witnessed a new challenge in the handling of
microscopy data. Big data, data deluge, large data, data compliance, data analytics, data …
microscopy data. Big data, data deluge, large data, data compliance, data analytics, data …
A data citation roadmap for scholarly data repositories
This article presents a practical roadmap for scholarly data repositories to implement data
citation in accordance with the Joint Declaration of Data Citation Principles, a synopsis and …
citation in accordance with the Joint Declaration of Data Citation Principles, a synopsis and …
[PDF][PDF] The Scholix framework for interoperability in data-literature information exchange
Abstract The Scholix Framework (SCHOlarly LInk eXchange) is a high level interoperability
framework for exchanging information about the links between scholarly literature and data …
framework for exchanging information about the links between scholarly literature and data …
Unique, persistent, resolvable: Identifiers as the foundation of FAIR
The FAIR principles describe characteristics intended to support access to and reuse of
digital artifacts in the scientific research ecosystem. Persistent, globally unique identifiers …
digital artifacts in the scientific research ecosystem. Persistent, globally unique identifiers …
[HTML][HTML] Strategies and guidelines for scholarly publishing of biodiversity data
The present paper describes policies and guidelines for scholarly publishing of biodiversity
and biodiversity-related data, elaborated and updated during the Framework Program 7 EU …
and biodiversity-related data, elaborated and updated during the Framework Program 7 EU …
Dataset reuse: Toward translating principles to practice
The web provides access to millions of datasets that can have additional impact when used
beyond their original context. We have little empirical insight into what makes a dataset more …
beyond their original context. We have little empirical insight into what makes a dataset more …
Putting practice into words: The state of data and methods transparency in grammatical descriptions
Abstract Language documentation and description are closely related practices, often
performed as part of the same fieldwork project on an un (der)-studied language. Research …
performed as part of the same fieldwork project on an un (der)-studied language. Research …
[HTML][HTML] De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data
MG Kersloot, A Jacobsen, KHJ Groenen… - Journal of Biomedical …, 2021 - Elsevier
Introduction Existing methods to make data Findable, Accessible, Interoperable, and
Reusable (FAIR) are usually carried out in a post hoc manner: after the research project is …
Reusable (FAIR) are usually carried out in a post hoc manner: after the research project is …
[HTML][HTML] FAIRness in digital forensics datasets' metadata–and how to improve it
S Mombelli, JR Lyle, F Breitinger - Forensic Science International: Digital …, 2024 - Elsevier
The availability of research data (datasets) and compliance with FAIR principles—
Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital …
Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital …
An open ecosystem for pervasive use of persistent identifiers
R Ananthakrishnan, K Chard, M D'Arcy… - … and Experience in …, 2020 - dl.acm.org
Persistent identifiers (PIDs) are essential for making data Findable, Accessible,
Interoperable, and Reusable, or FAIR. While the advantages of PIDs for data publication and …
Interoperable, and Reusable, or FAIR. While the advantages of PIDs for data publication and …