scholarly journals Open science, data sharing and solidarity: who benefits?

2021 ◽  
Vol 43 (4) ◽  
Author(s):  
Ciara Staunton ◽  
Carlos Andrés Barragán ◽  
Stefano Canali ◽  
Calvin Ho ◽  
Sabina Leonelli ◽  
...  
Keyword(s):  
Social Studies ◽  
Data Sharing ◽  
Personal Data ◽  
Open Science ◽  
Cold Spring Harbor Laboratory ◽  
Science Data ◽  
Biennial Conference ◽  
Cold Spring ◽  
Social Studies Of Biology ◽  
Science Movement

AbstractResearch, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the “open science” movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel “Open science, data sharing and solidarity: who benefits?” held at the 2021 Biennial conference of the International Society for the History, Philosophy, and Social Studies of Biology (ISHPSSB), and hosted by Cold Spring Harbor Laboratory (CSHL).

scholarly journals When Data Sharing Gets Close to 100%: What Human Paleogenetics Can Teach the Open Science Movement

PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0121409 ◽  
Author(s):  
Paolo Anagnostou ◽  
Marco Capocasa ◽  
Nicola Milia ◽  
Emanuele Sanna ◽  
Cinzia Battaggia ◽  
...  
Keyword(s):  
Data Sharing ◽  
Open Science ◽  
Science Movement

scholarly journals Curadoria de dados de pesquisa em repositórios de ensaios clínicos: uma revisão de escopo | Curating research data in clinical trial repositories: a scoping review

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Fabiana De Melo Amaral Gonçalves Pinto ◽  
Janaynne Carvalho Do Amaral ◽  
Melina De Brito Dos Santos
Keyword(s):  
Clinical Trial ◽  
Data Management ◽  
Open Science ◽  
Research Data ◽  
Science Data ◽  
Data Description ◽  
Research Data Management ◽  
Management Policies ◽  
Science Movement ◽  
Clinical Research Data

RESUMO O artigo investiga a prática da curadoria de dados de pesquisa em repositórios de ensaios clínicos. Propõe reflexões sobre a informação e seus múltiplos formatos no domínio da saúde e sugere uma definição para dados de pesquisa clínicos. Apresenta o conceito de curadoria de dados de pesquisa e fomenta novos estudos que priorizam a discussão sobre a gestão de dados de pesquisa e o movimento da Ciência Aberta no domínio da saúde. Aponta para a necessidade de implantação de políticas de gestão de dados de pesquisa que assegurem critérios de descrição, sistematização, compartilhamento, recuperação, interoperabilidade, preservação e reuso de dados. Como reflexão final, ressalta o desafio de discutir e implementar a prática de curadoria de dados de pesquisa produzidos por ensaios clínicos e evidencia o vasto e oportuno campo a ser explorado, tanto para pesquisadores quanto para profissionais da informação.Palavras-chave: Curadoria de Dados; Dados de Pesquisa; Ensaio Clínico; Ciência Aberta; Reuso de Dados.ABSTRACT The article investigates the practice of curating research data in clinical trial repositories. That proposes reflections on health information and its multiple formats and suggests the definition for clinical research data. It introduces the concept of research data curation and promotes new studies, which prioritize the discussion about research data management and the Open Science movement in the health domain. The article brings points to the need to implement research data management policies that ensure criteria for data description, systematization, sharing, retrieval, interoperability, preservation and reuse. As a final reflection, it highlights the challenge of discussing and implementing the practice of curating research data produced by clinical trials and highlights the vast and timely field to be explored for both researchers and information professionals.Keywords: Data Curator; Research data; Clinical Trial; Open Science; Data Reuse.Lista 

scholarly journals Open Science, Data Analysis, and Data Sharing

2021 ◽  
Author(s):  
Daniel Richard Isbell
Keyword(s):  
Data Analysis ◽  
Best Practices ◽  
Data Sharing ◽  
Open Science ◽  
Science Data ◽  
Recommended Practices ◽  
Science Framework

Collecting and analyzing data can be arduous, time-consuming labor. Our first instincts might not be to give the data away and reveal the steps behind the ‘magic’ of analyses. Nonetheless, sharing data and analysis steps increases the credibility and utility of our work, and ultimately contributes to a more efficient, cumulative science. Of course, recognizing the value of data and analysis sharing is one thing – actually doing the sharing is another. Sharing data and analyses is fraught with uncertainties (e.g., What should I share? What can I share? Will my data spreadsheet and analysis script even make sense to someone else?) and, at the end of the day, amounts to additional tasks to be completed. This chapter goes beyond persuading readers to share and presents answers to common questions, advice for best practices, and practical steps for sharing that can be integrated into your research workflow. Easy-to-use, free resources like R, RStudio, and the Open Science Framework are introduced for implementing recommended practices.

Introduction to the special section on Increasing Replicability, Transparency, and Openness in Clinical Psychology

2019 ◽  
Author(s):  
Jennifer L Tackett ◽  
Josh Miller
Keyword(s):  
Empirical Evidence ◽  
Data Sharing ◽  
Clinical Psychology ◽  
Special Section ◽  
Psychological Research ◽  
Open Science ◽  
Clinical Psychologists ◽  
Existing Problems

As psychological research comes under increasing fire for the crisis of replicability, attention has turned to methods and practices that facilitate (or hinder) a more replicable and veridical body of empirical evidence. These trends have focused on “open science” initiatives, including an emphasis on replication, transparency, and data sharing. Despite this broader movement in psychology, clinical psychologists and psychiatrists have been largely absent from the broader conversation on documenting the extent of existing problems as well as generating solutions to problematic methods and practices in our area (Tackett et al., 2017). The goal of the current special section was to bring together psychopathology researchers to explore these and related areas as they pertain to the types of research conducted in clinical psychology and allied disciplines.

Sign in / Sign up

Export Citation Format

Share Document