Results 21 to 30 of about 362,062 (288)

BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments [PDF]

, 2018
Advances in sequencing techniques have led to exponential growth in biological data, demanding the development of large-scale bioinformatics experiments.
Barbosa, Helio J. C., Foster, Ian, Gadelha Jr, Luiz M. R., Katz, Daniel S., Loss, Guilherme, Magalhães, Thiago, Mattoso, Marta, Mondelli, Maria Luiza, Ocaña, Kary, Vasconcelos, Ana Tereza R., Wilde, Michael   +10 more
core   +2 more sources

The provenance of electronic data [PDF]

Communications of the ACM, 2008
It would include details of the processes that produced electronic data as far back as the beginning of time or at least the epoch of provenance awareness.
Moreau, Luc, Groth, Paul, Miles, Simon, Vazquez, Javier, Ibbotson, John, Jiang, Sheng, Munroe, Steve, Rana, Omer, Schreiber, Andreas, Tan, Victor, Varga, Laszlo   +10 more
openaire   +5 more sources

Using Introspection to Collect Provenance in R

Informatics, 2018
Data provenance is the history of an item of data from the point of its creation to its present state. It can support science by improving understanding of and confidence in data. RDataTracker is an R package that collects data provenance from R scripts (
Barbara Lerner, Emery Boose, Luis Perez
doaj   +1 more source

'gcamdata': An R Package for Preparation, Synthesis, and Tracking of Input Data for the GCAM Integrated Human-Earth Systems Model

Journal of Open Research Software, 2019
The increasing data requirements of complex models demand robust, reproducible, and transparent systems to track and prepare models’ inputs. Here we describe version 1.0 of the gcamdata R package that processes raw inputs to produce the hundreds of XML ...
Ben Bond-Lamberty, Kalyn Dorheim, Ryna Cui, Russell Horowitz, Abigail Snyder, Katherine Calvin, Leyang Feng, Rachel Hoesly, Jill Horing, G. Page Kyle, Robert Link, Pralit Patel, Christopher Roney, Aaron Staniszewski, Sean Turner, Min Chen, Felip Feijoo, Corinne Hartin, Mohamad Hejazi, Gokul Iyer, Sonny Kim, Yaling Liu, Cary Lynch, Haewon McJeon, Steven Smith, Stephanie Waldhoff, Marshall Wise, Leon Clarke   +27 more
doaj   +1 more source

Hyperledger Fabric Blockchain for Securing the Edge Internet of Things

Sensors, 2021
Providing security and privacy to the Internet of Things (IoT) networks while achieving it with minimum performance requirements is an open research challenge.
Houshyar Honar Pajooh, Mohammad Rashid, Fakhrul Alam, Serge Demidenko   +3 more
doaj   +1 more source

A Provenance Tracking Model for Data Updates [PDF]

, 2012
For data-centric systems, provenance tracking is particularly important when the system is open and decentralised, such as the Web of Linked Data. In this paper, a concise but expressive calculus which models data updates is presented.
Ciobanu, Gabriel, Horne, Ross
core   +3 more sources

TruMuzic: A Deep Learning and Data Provenance-Based Approach to Evaluating the Authenticity of Music

Applied Sciences, 2023
The digitalization of music has led to increased availability of music globally, and this spread has further raised the possibility of plagiarism. Numerous methods have been proposed to analyze the similarity between two pieces of music.
Kuldeep Gurjar, Yang-Sae Moon, Tamer Abuhmed   +2 more
doaj   +1 more source

Dynamic Data Citation Service—Subset Tool for Operational Data Management

Data, 2019
In earth observation and climatological sciences, data and their data services grow on a daily basis in a large spatial extent due to the high coverage rate of satellite sensors, model calculations, but also by continuous meteorological in situ ...
Chris Schubert, Georg Seyerl, Katharina Sack   +2 more
doaj   +1 more source

Social Media Data in Research : Provenance Challenges [PDF]

, 2016
The work described here was funded by a grant from the United Kingdom’s Economic and Social Research Council Social Media - Developing Understanding, Infrastructure & Engagement (ES/M001628/1 ...
Corsar, David, Edwards, Peter, Markovic, Milan   +2 more
core   +1 more source

PHDMF: A Flexible and Scalable Personal Health Data Management Framework Based on Blockchain Technology

Frontiers in Genetics, 2022
Currently, most of the personal health data (PHD) are managed and stored separately by individual medical institutions. When these data need to be shared, they must be transferred to a trusted management center and approved by data owners through the ...
Liangxiao Ma, Yongxiang Liao, Haiwei Fan, Xianfeng Zheng, Jintao Zhao, Ziyi Xiao, Guangyong Zheng, Yun Xiong, Yun Xiong   +8 more
doaj   +1 more source