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Patterns, 2022 Our “digified” lives have provided researchers with an unprecedented opportunity to study society at a much higher frequency and granularity. Such data can have a large sample size but can be sparse, biased, and exclusively contributed by the users of the technologies.
Basiri, Anahid, Brunsdon, Chris
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Croatian Medical Journal, 2019 Komentar na korištenje "big data" u medicinskom ...
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Joining language with data and data with data
IASSIST Quarterly, 2021 Welcome to the IASSIST Quarterly first issue of 2021 and of volume 45 (IQ 45(1) 2021). I always find it interesting to learn more about other research areas. Often, I find approaches in less well-known areas can be transformed and transferred to my own areas, or make me aware of problems unwisely ignored hitherto and becoming potentials.
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Data, Data, and Yet More Data [PDF]
Review, 2007 This article was originally presented as a speech at the Association for University Business and Economic Research (AUBER) Annual Meeting, University of Memphis, Memphis, Tennessee, October 16, 2006.
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Cell, 2000 Genetics Databases By Martin J. Bishop. San Diego, CA: Academic Press (1999). 295 pp. $49.95Biological research is now significantly influenced by the burgeoning amount of genomics data available on the internet. Genetics Databases describes some of the more important sources of this information and explains some of the underlying principles behind the
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Data as an economic good, data as a commons, and data governance
Law, Innovation and Technology, 2023 This paper provides a systematic and critical review of the economics literature on data as an economic good and draws lessons for data governance. We conclude that focusing on data as an economic good in governance efforts is hardwired to only result in more data production and cannot deliver other societal goals contrary to what is often claimed in ...
Purtova, Nadya, van Maanen, Gijs
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Data Management of Confidential Data
International Journal of Digital Curation, 2013 Social science researchers increasingly make use of data that is confidential because it contains linkages to the identities of people, corporations, etc. The value of this data lies in the ability to join the identifiable entities with external data, such as genome data, geospatial information, and the like.
Lars Vilhuber +4 more
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Data compression for sequencing data [PDF]
Algorithms for Molecular Biology, 2013 : Post-Sanger sequencing methods produce tons of data, and there is a general agreement that the challenge to store and process them must be addressed with data compression. In this review we first answer the question "why compression" in a quantitative manner. Then we also answer the questions "what" and "how", by sketching the fundamental compression
Sebastian Deorowicz, Szymon Grabowski
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Data Platforms for Data Spaces
, 2022 AbstractIn our societies, there is a growing demand for the production and use of more data. Data is reaching the point that is driving all the social and economic activities in every industry sector. Technology is not going to be a barrier anymore; however, where there is large deployment of technology, the production of data creates a growing demand ...
Anjomshoaa, Amin +14 more
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