Linked open science-communicating, sharing and evaluating data, methods and results for executable papers

Tomi Kauppinen; Giovana Mira De Espindola

doi:10.1016/j.procs.2011.04.076

Linked open science-communicating, sharing and evaluating data, methods and results for executable papers

Tomi Kauppinen^*, Giovana Mira De Espindola

^*Tämän työn vastaava kirjoittaja

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Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

27 Sitaatiot (Scopus)

Abstrakti

Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four "silver bullets": 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science.

Alkuperäiskieli	Englanti
Sivut	726-731
Sivumäärä	6
Julkaisu	PROCEDIA COMPUTER SCIENCE
Vuosikerta	4
DOI - pysyväislinkit	https://doi.org/10.1016/j.procs.2011.04.076
Tila	Julkaistu - 15 kesäk. 2011
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Computational Science - Singapore, Singapore Kesto: 1 kesäk. 2011 → 3 kesäk. 2011 Konferenssinumero: 11

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10.1016/j.procs.2011.04.076

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title = "Linked open science-communicating, sharing and evaluating data, methods and results for executable papers",

abstract = "Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four {"}silver bullets{"}: 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science.",

keywords = "Academic publishing, Cloud Computing, Computation, Creative Commons, Linked Data, Open source, R-project, Semantic web, The Brazilian Amazon rainforest, Web of data",

author = "Tomi Kauppinen and {De Espindola}, {Giovana Mira}",

year = "2011",

month = jun,

day = "15",

doi = "10.1016/j.procs.2011.04.076",

language = "English",

volume = "4",

pages = "726--731",

journal = "PROCEDIA COMPUTER SCIENCE",

issn = "1877-0509",

publisher = "Elsevier",

note = "International Conference on Computational Science, ICCS ; Conference date: 01-06-2011 Through 03-06-2011",

}

TY - JOUR

T1 - Linked open science-communicating, sharing and evaluating data, methods and results for executable papers

AU - Kauppinen, Tomi

AU - De Espindola, Giovana Mira

N1 - Conference code: 11

PY - 2011/6/15

Y1 - 2011/6/15

N2 - Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four "silver bullets": 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science.

AB - Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four "silver bullets": 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science.

KW - Academic publishing

KW - Cloud Computing

KW - Computation

KW - Creative Commons

KW - Linked Data

KW - Open source

KW - R-project

KW - Semantic web

KW - The Brazilian Amazon rainforest

KW - Web of data

UR - http://www.scopus.com/inward/record.url?scp=79958248160&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2011.04.076

DO - 10.1016/j.procs.2011.04.076

M3 - Conference article

AN - SCOPUS:79958248160

SN - 1877-0509

VL - 4

SP - 726

EP - 731

JO - PROCEDIA COMPUTER SCIENCE

JF - PROCEDIA COMPUTER SCIENCE

T2 - International Conference on Computational Science

Y2 - 1 June 2011 through 3 June 2011

ER -

Linked open science-communicating, sharing and evaluating data, methods and results for executable papers

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