140 Excellent Big Data Research Topics to Consider
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Clinical Research Informatics for Big Data and Precision Medicine
The Big Data acquired by EHRs enables us to pursue a long-sought vision, a rapid learning healthcare system that integrates clinical research and clinical care, where clinical data are a basic staple of health learning [14, 15, 19, 20], and enables large-scale observational studies and large pragmatic trials for rapid evidence generation and ...
The impact of big data on research methods in information science
Research methods are roadmaps, techniques, and procedures employed in a study to collect data, process data, analyze data, yield findings, and draw a conclusion to achieve the research aims. To a large degree the availability, nature, and size of a dataset can affect the selection of the research methods, even the research topics.
Big Data Research
About the journal. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as ...
Big data in basic and translational cancer research
In this Review, Jiang et al. discuss considerations and strategies for wielding 'big data' ― large, information-rich datasets ― in basic research and for translational applications such as ...
Big data analytics in healthcare: a systematic literature review
2.1. Characteristics of big data. The concept of BDA overarches several data-intensive approaches to the analysis and synthesis of large-scale data (Galetsi, Katsaliaki, and Kumar Citation 2020; Mergel, Rethemeyer, and Isett Citation 2016).Such large-scale data derived from information exchange among different systems is often termed 'big data' (Bahri et al. Citation 2018; Khanra, Dhir ...
Big Data Application in Biomedical Research and Health Care: A
In the biomedical informatics domain, big data is a new paradigm and an ecosystem that transforms case-based studies to large-scale, data-d riven research. It is widely accepted that the characteristics of big data are defined by three major features, commonly known as the 3Vs: volume, variety, and velocity.
Clinical Research Informatics for Big Data and Precision Medicine
Clinical Research Informatics for Big Data and Precision Medicine Yearb Med Inform. 2016 Nov 10;(1):211-218. doi: 10.15265/IY-2016-019. Authors C Weng 1 , M G Kahn. Affiliation 1 Chunhua Weng, PhD, FACMI, Department ...
Big Data: Knowledge Discovery and Data Repositories
Compared to other research methodologies, the big data paradigm is often more exploratory, and data driven. Knowledge discovery typically means that one applies computational and statistical methods that are designed to identify previously unknown patterns in the data, thus leading to a hypothesis-generating approach.This contrasts with a hypothesis-testing approach, where theory and a priori ...
Scientific Research and Big Data
Scientific Research and Big Data. First published Fri May 29, 2020. Big Data promises to revolutionise the production of knowledge within and beyond science, by enabling novel, highly efficient ways to plan, conduct, disseminate and assess research. The last few decades have witnessed the creation of novel ways to produce, store, and analyse ...
How an informatics expert is harnessing big data to 'revolutionize
Developing therapeutics for rare diseases is an uphill battle, Samuel Volchenboum, MD, PhD, MS, knows. Researchers may struggle to obtain funding to study diseases that affect a small segment of the population — such as neuroblastoma, a pediatric cancer diagnosed in about 800 children each year in the United States.And rare diseases often lack enough standardized patient data to identify ...
The use of Big Data Analytics in healthcare
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data ...
Biomedical Informatics & Data Science
Biomedical Informatics & Data Science engages new and existing faculty, students, and staff from all of Yale to promote equitable and sustainable health with informatics and data science. Our research connects researchers across disciplines, and translates into practical settings. We promote excellence in transdisciplinary training.
Big Data and Big Data Analytics: Concepts, Types and Technologies
Big Data Anlytics refers to the process of collecting, organizing, analyzing large data sets to discover dif ferent. patterns and other useful information. Big data analytics is a. set of ...
Business analytics and big data research in information systems
The "Business Analytics and Big Data" track as a melting pot for topics in information systems (IS) and neighbouring disciplines has a long and successful history at the European Conference on Information Systems (ECIS). From its initial year in 2012 to 2021, the track has received 512 submissions.
A new theoretical understanding of big data analytics capabilities in
Big Data Analytics (BDA) usage in the industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision-making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in the organizational domain.
Business analytics and big data research in information systems
1. Past, Present, and Future of Business Analytics and Big Data Research Seen Through the Lens of the European Conference on Information Systems. Business analytics summarises all methods, processes, technologies, applications, skills, and organisational structures necessary to analyse past or current data to manage and plan business performance.
Big Data and Urban Informatics: Innovations and Challenges to Urban
Using Big Data for Urban Informatics requires methods for information retrieval, information extraction, GIS technologies, and multidisciplinary modeling and simulation methods from urban research as well as the data sciences (e.g., machine learning and tools used to analyze text, image and other unstructured sources of data).
What is Big Data Analytics?
What is big data analytics? Big data analytics refers to the systematic processing and analysis of large amounts of data and complex data sets, known as big data, to extract valuable insights. Big data analytics allows for the uncovering of trends, patterns and correlations in large amounts of raw data to help analysts make data-informed decisions.
How Big Data Analytics Works in Today's World: A Guide
One misconception is that big data analytics is merely about very large datasets, but it extends beyond the sheer volume of data. Big data also includes the three (now four) "V"s: velocity, volume, variety, and veracity. These attributes are what determine whether a big dataset is useful for certain business goals.
The Next Big Data Leap: How AI Is Reshaping Data And Analytics ...
In fact, the global data analytics market is expected to witness expansion with projections showing it skyrocketing from $61.44 billion in 2023 to $581.34 billion in 2033. These substantial ...
New FY 2023 Categorical Spending Data are Now Available
NIH recently updated its annual categorical information with fiscal year (FY) 2023 actual spending data and estimates for FY 2024 and 2025. Available on the Research, Condition, and Disease Categorization (RCDC) page, you will find the annual support level for various research, condition, and disease categories.The data are based on grants, contracts, intramural projects, and other funding ...
Enhancing research accessibility and reuse: new study outlines
Today, the European Commission published a study aimed at improving access to and reuse of research results, including publications and data for scientific purposes. This marks a significant step under the European Research Area Policy Agenda 2022-2024 on an EU copyright and data legislative and regulatory framework fit for research.
UAE releases new AI model to compete with big tech
DUBAI, May 13 (Reuters) - A government research institute in the United Arab Emirates on Monday released a new open source GenAI model, which could rival the ones from big technology companies.
Nutcracker Therapeutics' Research Partner, the University ...
EMERYVILLE, Calif.--(BUSINESS WIRE)-- Nutcracker Therapeutics, Inc., a biotechnology company dedicated to developing transformative RNA therapies through its proprietary technology platform, today detailed data presented by its partners at the University of California, San Francisco (UCSF) on foundational prostate cancer antigen research utilized to inform the development of its mRNA drug ...
Big data analytics for quality variation over work shifts in
However, there have been few studies on the influence of shift work on the consistency of product quality. This paper provides a methodology to analyze the impact of different work shifts in a real electronic board manufacturing industry. The study uses big data and analytics to assess product quality from data.
Global
Forecasts. Published on Tuesday, May 14, 2024. Global | BBVA Research Big Data Geopolitics Monitor. May 14, 2024. Fights between Israel and Hamas continue. Putin reshuffled top defense positions. Trump goes ahead on most US Presidential polls.
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The Big Data acquired by EHRs enables us to pursue a long-sought vision, a rapid learning healthcare system that integrates clinical research and clinical care, where clinical data are a basic staple of health learning [14, 15, 19, 20], and enables large-scale observational studies and large pragmatic trials for rapid evidence generation and ...
Research methods are roadmaps, techniques, and procedures employed in a study to collect data, process data, analyze data, yield findings, and draw a conclusion to achieve the research aims. To a large degree the availability, nature, and size of a dataset can affect the selection of the research methods, even the research topics.
About the journal. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as ...
In this Review, Jiang et al. discuss considerations and strategies for wielding 'big data' ― large, information-rich datasets ― in basic research and for translational applications such as ...
2.1. Characteristics of big data. The concept of BDA overarches several data-intensive approaches to the analysis and synthesis of large-scale data (Galetsi, Katsaliaki, and Kumar Citation 2020; Mergel, Rethemeyer, and Isett Citation 2016).Such large-scale data derived from information exchange among different systems is often termed 'big data' (Bahri et al. Citation 2018; Khanra, Dhir ...
In the biomedical informatics domain, big data is a new paradigm and an ecosystem that transforms case-based studies to large-scale, data-d riven research. It is widely accepted that the characteristics of big data are defined by three major features, commonly known as the 3Vs: volume, variety, and velocity.
Clinical Research Informatics for Big Data and Precision Medicine Yearb Med Inform. 2016 Nov 10;(1):211-218. doi: 10.15265/IY-2016-019. Authors C Weng 1 , M G Kahn. Affiliation 1 Chunhua Weng, PhD, FACMI, Department ...
Compared to other research methodologies, the big data paradigm is often more exploratory, and data driven. Knowledge discovery typically means that one applies computational and statistical methods that are designed to identify previously unknown patterns in the data, thus leading to a hypothesis-generating approach.This contrasts with a hypothesis-testing approach, where theory and a priori ...
Scientific Research and Big Data. First published Fri May 29, 2020. Big Data promises to revolutionise the production of knowledge within and beyond science, by enabling novel, highly efficient ways to plan, conduct, disseminate and assess research. The last few decades have witnessed the creation of novel ways to produce, store, and analyse ...
Developing therapeutics for rare diseases is an uphill battle, Samuel Volchenboum, MD, PhD, MS, knows. Researchers may struggle to obtain funding to study diseases that affect a small segment of the population — such as neuroblastoma, a pediatric cancer diagnosed in about 800 children each year in the United States.And rare diseases often lack enough standardized patient data to identify ...
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data ...
Biomedical Informatics & Data Science engages new and existing faculty, students, and staff from all of Yale to promote equitable and sustainable health with informatics and data science. Our research connects researchers across disciplines, and translates into practical settings. We promote excellence in transdisciplinary training.
Big Data Anlytics refers to the process of collecting, organizing, analyzing large data sets to discover dif ferent. patterns and other useful information. Big data analytics is a. set of ...
The "Business Analytics and Big Data" track as a melting pot for topics in information systems (IS) and neighbouring disciplines has a long and successful history at the European Conference on Information Systems (ECIS). From its initial year in 2012 to 2021, the track has received 512 submissions.
Big Data Analytics (BDA) usage in the industry has been increased markedly in recent years. As a data-driven tool to facilitate informed decision-making, the need for BDA capability in organizations is recognized, but few studies have communicated an understanding of BDA capabilities in a way that can enhance our theoretical knowledge of using BDA in the organizational domain.
1. Past, Present, and Future of Business Analytics and Big Data Research Seen Through the Lens of the European Conference on Information Systems. Business analytics summarises all methods, processes, technologies, applications, skills, and organisational structures necessary to analyse past or current data to manage and plan business performance.
Using Big Data for Urban Informatics requires methods for information retrieval, information extraction, GIS technologies, and multidisciplinary modeling and simulation methods from urban research as well as the data sciences (e.g., machine learning and tools used to analyze text, image and other unstructured sources of data).
What is big data analytics? Big data analytics refers to the systematic processing and analysis of large amounts of data and complex data sets, known as big data, to extract valuable insights. Big data analytics allows for the uncovering of trends, patterns and correlations in large amounts of raw data to help analysts make data-informed decisions.
One misconception is that big data analytics is merely about very large datasets, but it extends beyond the sheer volume of data. Big data also includes the three (now four) "V"s: velocity, volume, variety, and veracity. These attributes are what determine whether a big dataset is useful for certain business goals.
In fact, the global data analytics market is expected to witness expansion with projections showing it skyrocketing from $61.44 billion in 2023 to $581.34 billion in 2033. These substantial ...
NIH recently updated its annual categorical information with fiscal year (FY) 2023 actual spending data and estimates for FY 2024 and 2025. Available on the Research, Condition, and Disease Categorization (RCDC) page, you will find the annual support level for various research, condition, and disease categories.The data are based on grants, contracts, intramural projects, and other funding ...
Today, the European Commission published a study aimed at improving access to and reuse of research results, including publications and data for scientific purposes. This marks a significant step under the European Research Area Policy Agenda 2022-2024 on an EU copyright and data legislative and regulatory framework fit for research.
DUBAI, May 13 (Reuters) - A government research institute in the United Arab Emirates on Monday released a new open source GenAI model, which could rival the ones from big technology companies.
EMERYVILLE, Calif.--(BUSINESS WIRE)-- Nutcracker Therapeutics, Inc., a biotechnology company dedicated to developing transformative RNA therapies through its proprietary technology platform, today detailed data presented by its partners at the University of California, San Francisco (UCSF) on foundational prostate cancer antigen research utilized to inform the development of its mRNA drug ...
However, there have been few studies on the influence of shift work on the consistency of product quality. This paper provides a methodology to analyze the impact of different work shifts in a real electronic board manufacturing industry. The study uses big data and analytics to assess product quality from data.
Forecasts. Published on Tuesday, May 14, 2024. Global | BBVA Research Big Data Geopolitics Monitor. May 14, 2024. Fights between Israel and Hamas continue. Putin reshuffled top defense positions. Trump goes ahead on most US Presidential polls.