In this episode of Catalyst produced by the ABC, Dr Maryanne Demasi examines issues surrounding access to research data relating to Tamiflu.
Links, stories, images and articles about data-intensive research from Australia and beyond. An unofficial blog created by the Australian Research data Commons (Formerly: Australian National Data Service (ANDS), Nectar & RDS)) for the purpose of recording and sharing external content. ARDC does not endorse the content posted.
Showing posts with label research transparency. Show all posts
Showing posts with label research transparency. Show all posts
Friday, 10 July 2015
Friday, 5 December 2014
Data Access and Research Transparency (DA-RT): A Joint Statement by Political Science Journal Editors
September 18-19, 2014, Ann Arbor, MI
October 6, 2014
In this joint statement, journal editors commit their respective journals to the principles of data access and research transparency, and to implementing policies requiring authors to make as accessible as possible the empirical foundation and logic of inquiry of evidence-based research.
http://media.wix.com/ugd/fa8393_da017d3fed824cf587932534c860ea25.pdf
Tuesday, 18 November 2014
Data Access and Research Transparency (DA-RT): A Joint Statement by Political Science Journal Editors
Data Access and Research Transparency (DA-RT): A Joint Statement by Political Science Journal Editors
From the “Workshop on Data Access and Research Transparency (DA-RT) in Political Science.” Convened by the American Political Science Association (APSA) and hosted by the Inter-university Consortium for Political and Social Research (ICPSR), with support from Syracuse University’s Center for Qualitative and Multi-Method Inquiry (CQMI), and the University of Michigan’s Center for Political Studies (CPS).
In this joint statement, journal editors commit their respective journals to the principles of data access and research transparency, and to implementing policies requiring authors to make as accessible as
possible the empirical foundation and logic of inquiry of evidence-based research.
A Commitment to Data Access and Research Transparency
Transparency requires making visible both the empirical foundation and the logic of inquiry of research.
We agree that by January 15, 2016 we will:
1. Require authors to ensure that cited data are available at the time of publication through a
trusted digital repository.iii Journals may specify which trusted digital repository shall be used
(for example if they have their own dataverse).
• If cited data are restricted (e.g., classified, require confidentiality protections, were
obtained under a non-disclosure agreement, or have inherent logistical constraints),
authors must notify the editor at the time of submission. The editor shall have full
discretion to follow their journal’s policy on restricted data, including declining to review
the manuscript or granting an exemption with or without conditions. The editor shall
inform the author of that decision prior to review.
2. Require authors to delineate clearly the analytic procedures upon which their published claims
rely, and where possible to provide access to all relevant analytic materials. If such materials are
not published with the article, they must be shared to the greatest extent possible through a
trusted digital repository.
3. Maintain a consistent data citation policy to increase the credit that data creators and suppliers
receive for their work. These policies include using data citation practices that identify a
dataset’s author(s), title, date, version, and a persistent identifier. In sum, we will require authors
who base their claims on data created by others to reference and cite those data as an
intellectual product of value.
4. Ensure that journal style guides, codes of ethics, publication manuals, and other forms of
guidance are updated and expanded to include improved data access and research transparency
requirements.
Read the whole statement: http://media.wix.com/ugd/fa8393_da017d3fed824cf587932534c860ea25.pdf
From the “Workshop on Data Access and Research Transparency (DA-RT) in Political Science.” Convened by the American Political Science Association (APSA) and hosted by the Inter-university Consortium for Political and Social Research (ICPSR), with support from Syracuse University’s Center for Qualitative and Multi-Method Inquiry (CQMI), and the University of Michigan’s Center for Political Studies (CPS).
In this joint statement, journal editors commit their respective journals to the principles of data access and research transparency, and to implementing policies requiring authors to make as accessible as
possible the empirical foundation and logic of inquiry of evidence-based research.
A Commitment to Data Access and Research Transparency
Transparency requires making visible both the empirical foundation and the logic of inquiry of research.
We agree that by January 15, 2016 we will:
1. Require authors to ensure that cited data are available at the time of publication through a
trusted digital repository.iii Journals may specify which trusted digital repository shall be used
(for example if they have their own dataverse).
• If cited data are restricted (e.g., classified, require confidentiality protections, were
obtained under a non-disclosure agreement, or have inherent logistical constraints),
authors must notify the editor at the time of submission. The editor shall have full
discretion to follow their journal’s policy on restricted data, including declining to review
the manuscript or granting an exemption with or without conditions. The editor shall
inform the author of that decision prior to review.
2. Require authors to delineate clearly the analytic procedures upon which their published claims
rely, and where possible to provide access to all relevant analytic materials. If such materials are
not published with the article, they must be shared to the greatest extent possible through a
trusted digital repository.
3. Maintain a consistent data citation policy to increase the credit that data creators and suppliers
receive for their work. These policies include using data citation practices that identify a
dataset’s author(s), title, date, version, and a persistent identifier. In sum, we will require authors
who base their claims on data created by others to reference and cite those data as an
intellectual product of value.
4. Ensure that journal style guides, codes of ethics, publication manuals, and other forms of
guidance are updated and expanded to include improved data access and research transparency
requirements.
Read the whole statement: http://media.wix.com/ugd/fa8393_da017d3fed824cf587932534c860ea25.pdf
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