Matches in SemOpenAlex for { <https://semopenalex.org/work/W3024763785> ?p ?o ?g. }
- W3024763785 abstract "Understanding the role that the environment plays in influencing public health often involves collecting and studying large, complex data sets. There have been a number of private and public efforts to gather sufficient information and confront significant unknowns in the field of environmental public health, yet there is a persistent and largely unmet need for findable, accessible, interoperable, and reusable (FAIR) data. Even when data are readily available, the ability to create, analyze and draw conclusions from these data using emerging computational tools, such as augmented and artificial intelligence (AI) and machine learning, requires technical skills not currently implemented on a programmatic level across research hubs and academic institutions. We argue that collaborative efforts in data curation and storage, scientific computing, and training are of paramount importance to empower researchers within environmental sciences and the broader public health community to apply AI approaches and fully realize their potential. Leaders in the field were asked to prioritize challenges in incorporating big data in environmental public health research: inconsistent implementation of FAIR principles in data collection and sharing, a lack of skilled data scientists and appropriate cyber-infrastructures, and limited understanding of possibilities and communication of benefits were among those identified. These issues are discussed, and actionable recommendations are provided." @default.
- W3024763785 created "2020-05-21" @default.
- W3024763785 creator A5005512536 @default.
- W3024763785 creator A5024352905 @default.
- W3024763785 creator A5026297206 @default.
- W3024763785 creator A5049235562 @default.
- W3024763785 creator A5050874315 @default.
- W3024763785 creator A5055852244 @default.
- W3024763785 creator A5068077173 @default.
- W3024763785 date "2020-05-15" @default.
- W3024763785 modified "2023-09-27" @default.
- W3024763785 title "Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations" @default.
- W3024763785 cites W1978777023 @default.
- W3024763785 cites W1982438274 @default.
- W3024763785 cites W2020106098 @default.
- W3024763785 cites W2040291612 @default.
- W3024763785 cites W2068311567 @default.
- W3024763785 cites W2077905990 @default.
- W3024763785 cites W2104695258 @default.
- W3024763785 cites W2105289139 @default.
- W3024763785 cites W2169459302 @default.
- W3024763785 cites W2302501749 @default.
- W3024763785 cites W2321635716 @default.
- W3024763785 cites W2346693800 @default.
- W3024763785 cites W2479446485 @default.
- W3024763785 cites W2549115005 @default.
- W3024763785 cites W2573330618 @default.
- W3024763785 cites W2582187633 @default.
- W3024763785 cites W2617033517 @default.
- W3024763785 cites W2741691753 @default.
- W3024763785 cites W2758156000 @default.
- W3024763785 cites W2768650472 @default.
- W3024763785 cites W2769853272 @default.
- W3024763785 cites W2784164515 @default.
- W3024763785 cites W2792554287 @default.
- W3024763785 cites W2799476458 @default.
- W3024763785 cites W2800000557 @default.
- W3024763785 cites W2804841028 @default.
- W3024763785 cites W2805398678 @default.
- W3024763785 cites W2888115287 @default.
- W3024763785 cites W2891049928 @default.
- W3024763785 cites W2897037622 @default.
- W3024763785 cites W2899900453 @default.
- W3024763785 cites W2901460997 @default.
- W3024763785 cites W2902613916 @default.
- W3024763785 cites W2919637418 @default.
- W3024763785 cites W2944481922 @default.
- W3024763785 doi "https://doi.org/10.3389/frai.2020.00031" @default.
- W3024763785 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7654840" @default.
- W3024763785 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33184612" @default.
- W3024763785 hasPublicationYear "2020" @default.
- W3024763785 type Work @default.
- W3024763785 sameAs 3024763785 @default.
- W3024763785 citedByCount "5" @default.
- W3024763785 countsByYear W30247637852021 @default.
- W3024763785 countsByYear W30247637852022 @default.
- W3024763785 countsByYear W30247637852023 @default.
- W3024763785 crossrefType "journal-article" @default.
- W3024763785 hasAuthorship W3024763785A5005512536 @default.
- W3024763785 hasAuthorship W3024763785A5024352905 @default.
- W3024763785 hasAuthorship W3024763785A5026297206 @default.
- W3024763785 hasAuthorship W3024763785A5049235562 @default.
- W3024763785 hasAuthorship W3024763785A5050874315 @default.
- W3024763785 hasAuthorship W3024763785A5055852244 @default.
- W3024763785 hasAuthorship W3024763785A5068077173 @default.
- W3024763785 hasBestOaLocation W30247637851 @default.
- W3024763785 hasConcept C124101348 @default.
- W3024763785 hasConcept C136764020 @default.
- W3024763785 hasConcept C138816342 @default.
- W3024763785 hasConcept C142724271 @default.
- W3024763785 hasConcept C159110408 @default.
- W3024763785 hasConcept C17744445 @default.
- W3024763785 hasConcept C20136886 @default.
- W3024763785 hasConcept C202444582 @default.
- W3024763785 hasConcept C204787440 @default.
- W3024763785 hasConcept C2522767166 @default.
- W3024763785 hasConcept C2779965156 @default.
- W3024763785 hasConcept C33923547 @default.
- W3024763785 hasConcept C39549134 @default.
- W3024763785 hasConcept C41008148 @default.
- W3024763785 hasConcept C56739046 @default.
- W3024763785 hasConcept C71924100 @default.
- W3024763785 hasConcept C75684735 @default.
- W3024763785 hasConcept C91632574 @default.
- W3024763785 hasConcept C9652623 @default.
- W3024763785 hasConceptScore W3024763785C124101348 @default.
- W3024763785 hasConceptScore W3024763785C136764020 @default.
- W3024763785 hasConceptScore W3024763785C138816342 @default.
- W3024763785 hasConceptScore W3024763785C142724271 @default.
- W3024763785 hasConceptScore W3024763785C159110408 @default.
- W3024763785 hasConceptScore W3024763785C17744445 @default.
- W3024763785 hasConceptScore W3024763785C20136886 @default.
- W3024763785 hasConceptScore W3024763785C202444582 @default.
- W3024763785 hasConceptScore W3024763785C204787440 @default.
- W3024763785 hasConceptScore W3024763785C2522767166 @default.
- W3024763785 hasConceptScore W3024763785C2779965156 @default.
- W3024763785 hasConceptScore W3024763785C33923547 @default.
- W3024763785 hasConceptScore W3024763785C39549134 @default.
- W3024763785 hasConceptScore W3024763785C41008148 @default.
- W3024763785 hasConceptScore W3024763785C56739046 @default.