Results 1 to 10 of about 175 (53)
Experiment design driven FAIRification of omics data matrices, an exemplar. [PDF]
Sci Data, 2019 Rocca-Serra P, Sansone SA.
europepmc +3 more sources
A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization [PDF]
, 2022 A Collaborative Networked Organization (CNO) is a set of entities that operate in heterogeneous contexts and aim to collaborate to take advantage of a business opportunity or solve a problem. Big data allows CNOs to be more competitive by improving their
Chalmeta, Ricardo +3 more
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Knowledge graph embedding for experimental uncertainty estimation [PDF]
, 2023 Purpose: Experiments are the backbone of the development process of data-driven predictive models for scientific applications. The quality of the experiments directly impacts the model performance.
Pernici B., Ramalli E.
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A Multimodal Clinical Data Resource for Personalized Risk Assessment of Sudden Unexpected Death in Epilepsy [PDF]
, 2022 Epilepsy affects ~2–3 million individuals in the United States, a third of whom have uncontrolled seizures. Sudden unexpected death in epilepsy (SUDEP) is a catastrophic and fatal complication of poorly controlled epilepsy and is the primary cause of ...
Cui, Licong +6 more
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Digital Manufacturing in SMEs based on the context of the Industry 4.0 framework-one approach [PDF]
, 2020 Serbia is rapidly working on the development and implementation of digital manufacturing models in SMEs, through the national Industry 4.0 Platform. The aim is to create a pilot intelligent workshop which would be used to develop and showcase examples of
Janković, G. +3 more
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, 2022 Background: Open innovation highlights the potential benefits of external collaboration and knowledge-sharing, often exemplified through Open Source Software (OSS). The public sector has thus far mainly focused on the sharing of Open Government Data (OGD)
Linåker, Johan, Runeson, Per
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Do I-Pass for FAIR?:A self-assessment tool to measure the FAIR-ness of an organization [PDF]
, 2020 The 15 FAIR data principles are intended to be applied to a dataset, but the acronym FAIR is also used as an adjective for other (digital) matters, such as FAIR data stewardship, FAIR data infrastructure and FAIR data services.
, +13 more
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Complex ecologies of trust in data practices and data-driven systems [PDF]
, 2020 Trust in data practices and data-driven systems is widely seen as both important and elusive. A data trust deficit has been identified, to which proposed solutions are often localised or individualised, focusing either on what institutions can do to ...
Helberger N. +7 more
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A PIMS Development Kit for New Personal Data Platforms [PDF]
, 2022 The web ecosystem is based on a market where stakeholders collect and sell personal data, but nowadays users expect stronger guarantees of transparency and privacy.
Azcoitia, Santiago Andres +15 more
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Who benefits from data for good? [PDF]
, 2021 The central proposition of ‘data for good’ is that corporations should publicly share data sets derived from their business activities across various areas of the economy to improve and guide policymaking.
Aronczyk, Melissa +1 more
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