GO FAIR AND FAIR PRINCIPLES: what do they represent for the expansion of data in open Science?

被引:5
|
作者
Henning, Patricia Correa [1 ]
Silva Ribeiro, Clludio Jose [1 ]
Bonino Santos, Luiz Olavo [2 ]
dos Santos, Paula Xavier [3 ]
机构
[1] Univ Fed Estado Rio de Janeiro, Rio De Janeiro, RJ, Brazil
[2] GO FAIR Int Support & Coordinat Off, Leiden, Netherlands
[3] Fundacao Oswaldo Cruz, Rio De Janeiro, RJ, Brazil
来源
EM QUESTAO | 2019年 / 25卷 / 02期
关键词
Open science; Open data; Data management; FAIR principles; GO FAIR;
D O I
10.19132/1808-5245252.389-412
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This paper aims to present the FAIR principles and the Global Open FAIR (GO FAIR) initiative, which seeks to disseminate these principles in all countries interested in the application of FAIR (Findable Accessible, Interoperable, Reusable) data in their information services. It also proposes the dissemination and training of these principles at education and research institutions with the aim of promoting normalization of the data management, ensuring interoperability between them. As a methodological procedure, it uses bibliographic and documentary revision for the theoretical foundation on open science, open access to scientific information and research data, aiming to base the FAIR principles on applications and services of research data management. Highlight the importance of this type of initiative for the worldwide expansion of open research data in open science. In the end, it points to changes necessity in the processes of research in science and technology towards the adoption of these principles.
引用
收藏
页码:389 / 412
页数:24
相关论文
共 50 条
  • [2] FAIR Principles and Big Data: A Software Reference Architecture for Open Science
    Castro, Joao P. C.
    Romero, Lucas M. F.
    Carniel, Anderson C.
    Aguiar, Cristina D.
    [J]. ICEIS: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 1, 2022, : 27 - 38
  • [3] GO FAIR Brazil: A Challenge for Brazilian Data Science
    Sales, Luana
    Henning, Patricia
    Veiga, Viviane
    Costa, Maira Murrieta
    Sayao, Luis Fernando
    da Silva Santos, Luiz Olavo Bonino
    Pires, Luis Ferreira
    [J]. DATA INTELLIGENCE, 2020, 2 (1-2) : 238 - 245
  • [4] FAIR Versus Open Data: A Comparison of Objectives and Principles
    Jati, Putu Hadi Purnama
    Lin, Yi
    Nodehi, Sara
    Cahyono, Dwy Bagus
    van Reisen, Mirjam
    [J]. DATA INTELLIGENCE, 2022, 4 (04) : 867 - 881
  • [5] Aligning DMBOK and Open Government with the FAIR Data Principles
    de Figueiredo, Glaucia Botelho
    Rebelo Moreira, Joao Luiz
    Cordeiro, Kelli de Faria
    Machado Campos, Maria Luiza
    [J]. ADVANCES IN CONCEPTUAL MODELING, ER 2019, 2019, 11787 : 13 - 22
  • [6] FAIR Versus Open Data: A Comparison of Objectives and Principles
    Putu Hadi Purnama Jati
    Yi Lin
    Sara Nodehi
    Dwy Bagus Cahyono
    Mirjam van Reisen
    [J]. Data Intelligence, 2022, 4 (04) : 867 - 881
  • [7] Creating Digital Cultural Heritage with Open Data: From FAIR to FAIR5 Principles
    Barbuti, Nicola
    [J]. DIGITAL LIBRARIES: THE ERA OF BIG DATA AND DATA SCIENCE, IRCDL 2020, 2020, 1177 : 173 - 181
  • [8] The FAIR guiding principles for data stewardship: fair enough?
    Boeckhout, Martin
    Zielhuis, Gerhard A.
    Bredenoord, Annelien L.
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2018, 26 (07) : 931 - 936
  • [9] The FAIR guiding principles for data stewardship: fair enough?
    Martin Boeckhout
    Gerhard A. Zielhuis
    Annelien L. Bredenoord
    [J]. European Journal of Human Genetics, 2018, 26 : 931 - 936
  • [10] Ethical values in relation with Open Science and FAIR data principles applied to human genetics research
    Cambon-Thomsen, Anne
    Delfin, Alejandra
    Rial-Sebbag, Emmanuelle
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2023, 31 : 334 - 335