Results 151 to 160 of about 2,276,525 (185)
From Planning Stage To FAIR Data: A Practical Metadatasheet For Biomedical Scientists
Seep L +37 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Nature Nanotechnology, 2021
Nanotechnology is a key enabling technology with billions of euros in global investment from public funding, which include large collaborative projects that have investigated environmental and health safety aspects of nanomaterials, but the reuse of accumulated data is clearly lagging behind. Here we summarize challenges and provide recommendations for
Nina Jeliazkova +37 more
openaire +8 more sources
Nanotechnology is a key enabling technology with billions of euros in global investment from public funding, which include large collaborative projects that have investigated environmental and health safety aspects of nanomaterials, but the reuse of accumulated data is clearly lagging behind. Here we summarize challenges and provide recommendations for
Nina Jeliazkova +37 more
openaire +8 more sources
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

