Results 11 to 20 of about 217 (54)
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.
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Open Data Platform Tools for Energy Service Ecosystem in Urban Superblocks [PDF]
, 2023 Superblocks, or large city-blocks with some degree of energy autonomy, have yet unanswered challenges related to data utilization. Within superblocks, a service-based data ecosystem could provide benefits in the form of higher-level control applications ...
Filppula, Mikael +2 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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‘Everything the Data Touches Is Our Kingdom’:Market Power of ‘Data Ecosystems’ [PDF]
, 2023 Companies such as Google and Facebook are not merely conglomerates of Internet-based services which just so happen to process personal data. They should instead be conceptualized as ‘data ecosystems’ and treated as such.
van de Waerdt, Peter
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An architecture for automatic ML/AI workflow management and supervision [PDF]
, 2021 Scientific computation problems have been faced with the need to analyze increasing amounts of data as part of their application workflows, and the science-based model is being combined with big data and machine learning models to solve complex ...
Guitart Fernández, Jordi, Liu, Peini
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NR1H3 p.Arg415Gln Is Not Associated to Multiple Sclerosis Risk [PDF]
, 2016 A recent study by Wang et al. (2016a) claims that the low-frequency variant NR1H3 p.Arg415Gln is sufficient to cause multiple sclerosis in certain individuals and determines a patient's likelihood of primary progressive disease.
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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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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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Tools and Ecosystems for Open Control Systems Data at ESS [PDF]
, 2021 We see a potential for ESS to benefit from sharing alarm data for machine learning applications, by establishing data ecosystem. To achieve these goal, ESS must make a strategic decision to pursue data sharing, establish a technical platform to share a ...
Runeson, Per, Söderberg, Emma
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, 2017 Making cities smarter help improve city services and increase citizens' quality of life. Information and communication technologies (ICT) are fundamental for progressing towards smarter city environments. Smart City software platforms potentially support
Chaves, Ana Paula +4 more
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