Data sharing during COVID-19 pandemic: what to take away

被引:11
|
作者
Rios, Rafael S. [1 ]
Zheng, Kenneth I. [1 ]
Zheng, Ming-Hua [1 ,2 ,3 ]
机构
[1] Wenzhou Med Univ, Dept Hepatol, MAFLD Res Ctr, Affiliated Hosp 1, Wenzhou 325000, Peoples R China
[2] Wenzhou Med Univ, Inst Hepatol, Wenzhou, Peoples R China
[3] Key Lab Diag & Treatment Dev Chron Liver Dis Zhej, Wenzhou, Peoples R China
关键词
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); coronavirus disease 2019 (COVID-19); liver disease; data sharing; metabolic associated fatty liver disease (MAFLD);
D O I
10.1080/17474124.2020.1815533
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Introduction In light of the viral outbreak of SARS-CoV-2 that monopolized the focus of the scientific community and general public alike for the past 6 months, one of the greatest contributors in the battle against this pandemic was the international sharing of information. Whether regarding the viral genome, incubation periods, method of transmission, symptoms, dangerous behaviors, age groups at risk, all information was valuable, all data was shared as soon as possible. Areas covered Considering that the most severely impacted group of patients are already suffering from other conditions, accessing the impact that metabolic associated fatty liver disease (MAFLD), obesity, and diabetes has on patients by sharing information between different healthcare facilities is of vital importance. However, the value behind open information sharing would remain significant even without a viral outbreak and should there be a more efficient infrastructure in place, the global exchange of data can become more practical and less arduous. Expert opinion Since the sharing of data by individual researchers is often motivated by personal benefits, this observed international collaboration is conditional at best, and the widespread misinformation during this pandemic could be an indication of a certain lack of consensus within the scientific community itself.
引用
收藏
页码:1125 / 1130
页数:6
相关论文
共 50 条
  • [1] What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?
    Laato, Samuli
    Islam, A. K. M. Najmul
    Islam, Muhammad Nazrul
    Whelan, Eoin
    [J]. EUROPEAN JOURNAL OF INFORMATION SYSTEMS, 2020, 29 (03) : 288 - 305
  • [2] Response to and Recovery from the COVID-19 Pandemic: What Will It Take?
    Morganstein, Joshua C.
    West, James C.
    Schimmels, JoEllen
    Benedek, David M.
    [J]. PSYCHIATRY-INTERPERSONAL AND BIOLOGICAL PROCESSES, 2020, 83 (02): : 143 - 148
  • [3] Management and Data Sharing of COVID-19 Pandemic Information
    Gao, Frank
    Tao, Liang
    Huang, Yu
    Shu, Zhiquan
    [J]. BIOPRESERVATION AND BIOBANKING, 2020, 18 (06) : 570 - 580
  • [4] The sharing of research data facing the COVID-19 pandemic
    Lucas-Dominguez, Rut
    Alonso-Arroyo, Adolfo
    Vidal-Infer, Antonio
    Aleixandre-Benavent, Rafael
    [J]. SCIENTOMETRICS, 2021, 126 (06) : 4975 - 4990
  • [5] The sharing of research data facing the COVID-19 pandemic
    Rut Lucas-Dominguez
    Adolfo Alonso-Arroyo
    Antonio Vidal-Infer
    Rafael Aleixandre-Benavent
    [J]. Scientometrics, 2021, 126 : 4975 - 4990
  • [6] Data Sharing Solutions for Biobanks for the COVID-19 Pandemic
    Paul, Shonali
    Chatterjee, Mrinal Kanti
    [J]. BIOPRESERVATION AND BIOBANKING, 2020, 18 (06) : 581 - 586
  • [7] Data Sharing in Southeast Asia During the First Wave of the COVID-19 Pandemic
    Amit, Arianna Maever L.
    Pepito, Veincent Christian F.
    Gutierrez, Bernardo
    Rawson, Thomas
    [J]. FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [8] COVID-19: Playing away the pandemic
    Balakrishnan, Vijay Shankar
    [J]. LANCET INFECTIOUS DISEASES, 2020, 20 (07): : 792 - 792
  • [9] Social Sharing of Emotion During the COVID-19 Pandemic
    Kim, Doha
    Park, Chaewon
    Kim, Eunji
    Han, Jinyoung
    Song, Hayeon
    [J]. CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING, 2022, 25 (06) : 369 - 376
  • [10] Short Take: Collecting Data from a Vulnerable Population during the COVID-19 Pandemic
    Harcey, Sela R.
    Gauthier, Robin
    Markowski, Kelly L.
    Smith, Jeffrey A.
    [J]. FIELD METHODS, 2022, 34 (03) : 265 - 271