Results 221 to 230 of about 1,295,498 (266)
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region
FEBS Open Bio, EarlyView.Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson +2 more
wiley +1 more source
Combating Fraudulent Participation in Urban American Indian and Alaska Native Virtual Health Research: Protocol for Increasing Data Integrity in Online Research (PRIOR). [PDF]
JMIR Res ProtocReed ND +4 more
europepmc +1 more source
Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study. [PDF]
JMIR Form ResBonett S +7 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013
The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
openaire +1 more source
The Big Data era is upon us: data is being generated, collected and analyzed at an unprecedented scale, and data-driven decision making is sweeping through society. Since the value of data explodes when it can be linked and fused with other data, addressing the big data integration (BDI) challenge is critical to realizing the promise of Big Data.
Xin Luna Dong, Divesh Srivastava
openaire +1 more source
Abstraction in Data Integration
2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2021Data integration provides a unified and abstract view over a set of existing data sources. The typical architecture of a data integration system comprises the global schema, which is the structure for the unified view, the source schema, and the mapping, which is a formal account of how data at the sources relate to the global view.
Cima G. +3 more
openaire +1 more source
Proceedings of the 2021 International Conference on Management of Data, 2021
We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
openaire +1 more source
We are witnessing the widespread adoption of deep learning techniques as avant-garde solutions to different computational problems in recent years. In data integration, the use of deep learning techniques has helped establish several state-of-the-art results in long standing problems, including information extraction, entity matching, data cleaning ...
openaire +1 more source
Integration Integrity for Multigranular Data
2016When data from several source schemata are to be integrated, it is essential that the resulting data in the global schema be consistent. This problem has been studied extensively for the monogranular case, in which all domains are flat. However, data involving spatial and/or temporal attributes are often represented at different levels of granularity ...
Stephen J. Hegner, M. Andrea Rodríguez
openaire +1 more source
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2002
Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view.
openaire +1 more source
Data integration is the problem of combining data residing at different sources, and providing the user with a unified view of these data. The problem of designing data integration systems is important in current real world applications, and is characterized by a number of issues that are interesting from a theoretical point of view.
openaire +1 more source
ACM SIGMOD Record, 2009
Mashup is a new application development approach that allows users to aggregate multiple services to create a service for a new purpose. Even if the Mashup approach opens new and broader opportunities for data/service consumers, the development process still requires the users to know not only how to write code using programming languages, but also how
Giusy Di Lorenzo +3 more
openaire +1 more source
Mashup is a new application development approach that allows users to aggregate multiple services to create a service for a new purpose. Even if the Mashup approach opens new and broader opportunities for data/service consumers, the development process still requires the users to know not only how to write code using programming languages, but also how
Giusy Di Lorenzo +3 more
openaire +1 more source