Results 301 to 310 of about 2,294,345 (331)
Some of the next articles are maybe not open access.
Fairness-aware Data Integration
Journal of Data and Information Quality, 2022Machine learning can be applied in applications that take decisions that impact people’s lives. Such techniques have the potential to make decision making more objective, but there also is a risk that the decisions can discriminate against certain groups as a result of bias in the underlying data.
Lacramioara Mazilu +3 more
openaire +2 more sources
2022
In this chapter the concept of research data management is highlighted in the context of the data publication and data infrastructures. One focus of this contribution lies on the topics of metadata and the FAIR data principles associated with data sharing and data infrastructures such as data repositories.
openaire +2 more sources
In this chapter the concept of research data management is highlighted in the context of the data publication and data infrastructures. One focus of this contribution lies on the topics of metadata and the FAIR data principles associated with data sharing and data infrastructures such as data repositories.
openaire +2 more sources
2017 IEEE International Conference on Big Data (Big Data), 2017
Policy making has the strict requirement to rely on quantitative and high quality information. This paper will address the data quality issue for policy making by showing how to deal with Big Data quality in the different steps of a processing pipeline, with a focus on the integration of Big Data sources with traditional sources.
Catarci, Tiziana +3 more
openaire +2 more sources
Policy making has the strict requirement to rely on quantitative and high quality information. This paper will address the data quality issue for policy making by showing how to deal with Big Data quality in the different steps of a processing pipeline, with a focus on the integration of Big Data sources with traditional sources.
Catarci, Tiziana +3 more
openaire +2 more sources
2023
Dutch grant proposal that describes the FAIR Data Hub. The University of Amsterdam wants to automate data archiving and publication. The aim is that researchers no longer need to learn skills for data deposition. The win for data stewards is the ability to improve research data management in automated processes.
Oort, Frans +2 more
openaire +1 more source
Dutch grant proposal that describes the FAIR Data Hub. The University of Amsterdam wants to automate data archiving and publication. The aim is that researchers no longer need to learn skills for data deposition. The win for data stewards is the ability to improve research data management in automated processes.
Oort, Frans +2 more
openaire +1 more source
2022
???????????????????? ???????????? ????????????????, ???????????? ???? ???????????? ?????????????????? ?????????????????????? ???????????????? ?????????? FAIR (Findable, Accessible, Interoperable, Reusable ???? ???????????????? ?????????????? ?????????????? ?????????? (Big Data), ?????? ?????????????????????? ???? ???????????????? ???????????????????????
openaire +1 more source
???????????????????? ???????????? ????????????????, ???????????? ???? ???????????? ?????????????????? ?????????????????????? ???????????????? ?????????? FAIR (Findable, Accessible, Interoperable, Reusable ???? ???????????????? ?????????????? ?????????????? ?????????? (Big Data), ?????? ?????????????????????? ???? ???????????????? ???????????????????????
openaire +1 more source
An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
An automated solution for measuring the progress toward FAIR research data
Patterns, 2021Anusuriya Devaraju, Robert Huber
exaly
Slides presented at an introduction meeting at the NIPV on October 08th - the presentation discusses the background of Open Science and FAIR Data and the services DANS offers. In particular, we discuss how data can be found, and archived and published at the DANS Data Station.
openaire +1 more source
openaire +1 more source
Maximizing data value for biopharma through FAIR and quality implementation: FAIR plus Q
Drug Discovery Today, 2022Ian Harrow, Martin Romacker
exaly