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Cloud of Reproducible Records NIST -- National Institute

of Standards and Technology, data.nist.gov (Standard Reference / public data, DCAT/NERDm). {"@context":["https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",{"@base":"ark:/88434/mds111zrp092"}],"_schema":"https://data.nist.gov/od/dm/nerdm-schema/v0.7#","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"],"@type":["nrdp:PublicDataResource"],"@id":"ark:/88434/mds111zrp092","doi":"doi:10.18434/T4/1500892","title":"Cloud of Reproducible Records","contactPoint":{"fn":"Faical Congo","hasEmail":"mailto:faical.congo@nist.gov"},"modified":"2017-11-27","ediid":"5EF93144BF795DA6E0531A570681F0951881","landingPage":"https://corr-root.org/","description":["Cloud of Reproducible Records (CoRR) is a web platform to support computation version control tools such as Sumatra, Reprozip, CDE, and NoWorkflow. These tools are seen as support for reproducible research, yet they are facing issues in adoption when compared to their source code counterparts like Git, Subversion, and Mercurial. This is mostly due to the fact that the latter have support from web platforms dedicated to increasing their content exposure, i.e. Github, Bitbucket, SourceForge, etc. CoRR is a scientific social network around reproducible records dedicated to helping increase their adoption by boosting exposure of the records. The platform focuses on networking records and scientists, which makes the long-term survival of research reproducibility its core goal."],"keyword":["corr","reproducible","computation","version control","web","platform"],"topic":[],"references":[{"@type":["deo:BibliographicReference"],"@id":"#ref:10.1038/sdata.2018.82","refType":"IsReferencedBy","location":"https://doi.org/10.1038/sdata.2018.82","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"]},{"@type":["deo:BibliographicReference"],"@id":"#ref:","refType":"IsReferencedBy","location":"http://corr.readthedocs.io/","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/bib/v0.7#/definitions/DCiteReference"]}],"accessLevel":"public","license":"https://www.nist.gov/open/license","components":[{"accessURL":"https://github.com/usnistgov/corr","description":"This is the Github repository that contains CoRR's source code.","title":"CoRR Source Code","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#usnistgov/corr","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"accessURL":"https://github.com/usnistgov/corr-deploy","description":"This repository contains the code necessary to manage CoRR deployment.","title":"CoRR Deployment Manager","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#usnistgov/corr-deploy","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"accessURL":"https://github.com/usnistgov/corr-sumatra","description":"This is the repository of the Sumatra code integrated to CoRR.","title":"Sumatra Integrated to CoRR","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#usnistgov/corr-sumatra","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"accessURL":"https://github.com/usnistgov/corr-reprozip","description":"This is the source code of ReproZip integrated to CoRR.","title":"Reprozip integrated to CoRR","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#usnistgov/corr-reprozip","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"accessURL":"https://github.com/usnistgov/corr-cde","description":"This is the source code of CDE integration with CoRR.","title":"CDE Integrated to CoRR","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#usnistgov/corr-cde","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"accessURL":"https://doi.org/10.18434/T4/1500892","format":"text/html","description":"DOI Access to Cloud of Reproducible Records (CoRR)","title":"DOI Access to for Cloud of Reproducible Records (CoRR)","@type":["nrd:Hidden","dcat:Distribution"],"@id":"#doi:10.18434/T4/1500892"}],"publisher":{"name":"National Institute of Standards and Technology","@type":"org:Organization"},"language":["en"],"bureauCode":["006:55"],"programCode":["006:045"],"version":"1.0.1","releaseHistory":{"@id":"ark:/88434/mds111zrp092/pdr:v","@type":["nrdr:ReleaseHistory"],"hasRelease":[{"version":"1.0.0","issued":"2017-11-27","@id":"ark:/88434/mds111zrp092/pdr:v/1.0.0","location":"https://data.nist.gov/od/id/ark:/88434/mds111zrp092/pdr:v/1.0.0","description":"initial release"},{"version":"1.0.1","issued":"2017-11-27","@id":"ark:/88434/mds111zrp092/pdr:v/1.0.1","location":"https://data.nist.gov/od/id/ark:/88434/mds111zrp092/pdr:v/1.0.1","description":"metadata update"}]}},{"_schema":"https://data.nist.gov/od/dm/nerdm-schema/v0.7#","@context":["https://data.nist.gov/od/dm/nerdm-pub-context.jsonld",{"@base":"ark:/88434/mds00jk7dz"}],"@type":["nrdp:PublicDataResource","dcat:Dataset"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/PublicDataResource"],"topic":[{"@type":"Concept","scheme":"https://data.nist.gov/od/dm/nist-themes/v1.1","tag":"Mathematics and Statistics: Numerical methods and software"}],"keyword":["Model fitting","thermodynamics","optimization"],"landingPage":"https://data.nist.gov/od/id/60DE5B6BBA1BB062E0531A570681F4381883","title":"NISTfit","theme":["Mathematics and Statistics: Numerical methods and software"],"programCode":["006:052"],"description":["NISTFIT is a heavily abstracted C++-based kernel for fitting correlations. The software is written in our source languages. The current trend in computer architecture is for increasingly parallel computation while the clock frequency stagnates. The increase in computing speed is achieved by dividing a process into several threads which are executed in parallel on multiple processors, processors with multiple cores, cores that are able to handle multiple threads (hyper-threading), graphical processing units (GPU), or co-processors. In order to take advantage of these new architectures, algorithms that have historically been implemented for serial evaluation need to be refactored for parallelization. In this work, a native multithreading framework in C++11 for scientific and engineering model development is presented. The motivation for NISTfit is to develop a modern C++11-based library for this problem that is: ? Cross-platform: NISTfit has only very minimal header-only dependencies (Eigen and ThreadPool), and builds reliably on all major architectures; a CMake build file is provided. ? Easy to use: There are a multitude of similar libraries for model fitting (e.g., MINPACK 1, levmar2, Eigen?s Levenberg-Marquardt module 3, to name but a few) that a) are based on archaic FORTRAN/C/C++ constructs, b) require significant boilerplate to solve simple problems, or c) have difficult-to-build dependencies. It is the opinion of the authors of NISTfit that NISTfit strikes a good balance of power and ease-of-use for simple fitting problems. The code utilizes modern C++11 constructs and will build on any C++11 compliant compiler. ? Parallelizable: The future is parallel, and NISTfit is able to achieve near theoretical speedup as more cores are made available to the fitting for sufficiently expensive models."],"bureauCode":["006:55"],"contactPoint":{"hasEmail":"mailto:ian.bell@nist.gov","fn":"Ian Bell"},"accessLevel":"public","@id":"ark:/88434/mds00jk7dz","publisher":{"@type":"org:Organization","name":"National Institute of Standards and Technology"},"doi":"doi:10.18434/mds2-1883","license":"https://www.nist.gov/open/license","language":["en"],"modified":"2017-12-21 00:00:00","ediid":"60DE5B6BBA1BB062E0531A570681F4381883","components":[{"accessURL":"https://doi.org/10.18434/M39W9S","@type":["nrdp:AccessPage","dcat:Distribution"],"@id":"#10.18434/M39W9S","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/AccessPage"]},{"@id":"cmps/1883","@type":["nrdp:Subcollection"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/Subcollection"],"filepath":"1883"},{"@id":"cmps/1883/NISTfit.zip.sha256","@type":["nrdp:DataFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"],"filepath":"1883/NISTfit.zip.sha256","mediaType":"text/plain","downloadURL":"https://s3.amazonaws.com/nist-midas/1883/NISTfit.zip.sha256"},{"@id":"cmps/1883/NISTfit.zip","@type":["nrdp:DataFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"],"filepath":"1883/NISTfit.zip","mediaType":"text/plain","downloadURL":"https://s3.amazonaws.com/nist-midas/1883/NISTfit.zip"},{"@id":"cmps/NISTfit.zip.sha256","@type":["nrdp:ChecksumFile","nrdp:DownloadableFile","dcat:Distribution"],"filepath":"NISTfit.zip.sha256","downloadURL":"https://s3.amazonaws.com/nist-midas/1883/NISTfit.zip.sha256","algorithm":{"tag":"sha256","@type":"Thing"},"describes":"cmps/NISTfit.zip","description":"SHA-256 checksum value for NISTfit.zip","_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/ChecksumFile"],"mediaType":"text/plain"},{"@id":"cmps/NISTfit.zip","@type":["nrdp:DataFile","nrdp:DownloadableFile","dcat:Distribution"],"_extensionSchemas":["https://data.nist.gov/od/dm/nerdm-schema/pub/v0.7#/definitions/DataFile"],"filepath":"NISTfit.zip","downloadURL":"https://s3.amazonaws.com/nist-midas/1883/NISTfit.zip","mediaType":"text/plain"}],"status":"available","version":"1.0.0","releaseHistory":{"@id":"ark:/88434/mds00jk7dz.rel","@type":["nrdr:ReleaseHistory"],"hasRelease":[{"version":"1.0.0","issued":"2017-12-21","@id":"ark:/88434/mds00jk7dz/pdr:v/1.0.0","location":"https://data.nist.gov/od/id/ark:/88434/mds00jk7dz/pdr:v/1.0.0","description":"initial release"}]},"annotated":"2021-11-08T21:42:32.166872","revised":"2021-11-08T21:42:32.166872","issued":null,"firstIssued":"2021-11-08T21:42:32.166872"},