•ResearchLoopanditsapplications •ResearchProcessandwhatportionsoftheprocessgive uswhataspectsofvalidity •Studyattributesthatdoanddonotinfluencethecausal interpretabilityoftheresults. Datacollectionmethods Alldataarecollectedusingoneoftwomajormethods…
Bitcoin research with a transaction graph dataset Hugo Schnoering Michalis Vazirgiannis Data DescriptorOpen Access08 Mar 2025 Genomes of two indigenous clamsAnomalocardia flexuosa(Linnaeus, 1767) andMeretrix petechialis(Lamarck, 1818) Sean Tsz Sum Law ...
Companies that process personal data are responsible for complying with the requirements of the GDPR. They are deemed "controllers“ within the meaning of Article 4 (7) GDPR. Processing means any process involving personal data such as collection, recording, organisation, sorting, storage, alteration...
A deep understanding of the biomedical discovery process is crucial for advancing modern precision medicine initiatives. To explore this, our study involved in-depth, semi-structured interviews with biomedical research professionals spanning various roles including bench scientists, ...
This chapter provides an overview of the methodology used in the research project, focusing in particular on the research design and data collection. Readers will need to understand the procedures employed in order to reproduce the research approach and its results. The topics addressed here include...
For more details on our process, read the full rundown of how we select apps to feature on the Zapier blog. Field data collection tools have to do a few things: They need to make it easy for your staff or research team to accurately track the information they need. They have to ...
The UK Health Data Research Alliance presents five recommendations for improving data collection for inclusive health research. Paola Quattroni Ash Routen Kamlesh Khunti Comments & Opinion24 Feb 2025Nature Medicine P: 1-4 Affording reusable data: recommendations for researchers from a data-intensive pro...
This data science tool harbors a collection of machine learning algorithms tailored for data mining tasks. WEKA’s suite of algorithms, streamlined data preprocessing tools, and adeptness for various statistical modeling tasks render it an indispensable asset in the data science domain. WEKA a data ...
Collection of tools to utilize openEHR data in a research context using EHRbase, NUM-Portal and Docusaurus for comprehensive documentation. - zlgesundheit/zlg-platform
In this article, we provide a comprehensive overview on the data fusion applied to agricultural problems; we present the main successes, highlight the main challenges that remain, and suggest possible directions for future research. Keywords: data fusion; sensors; variability; precision agriculture; ...