[Rdap] FW: [IASSIST] Reproducibility in Research - IASSIST Quarterly special issue

[Hayslett, Michele Matz]

Apologies for cross-posting.  You need not be an IASSIST member to submit an article for the IQ.

Michele
Managing Editor, IASSIST Quarterly

--
Michele M. Hayslett
(she, her, hers)
Librarian for Numeric Data Services & Data Management
Digital Research Svcs.
Davis Library, CB #3950
University of North Carolina at Chapel Hill
Chapel Hill, NC  27515-3950
(919) 843-6958
[ORCID iD icon]orcid.org/0000-0001-8783-2763<https://orcid.org/0000-0001-8783-2763>
michele_hayslett at unc.edu<mailto:michele_hayslett at unc.edu>
(Please contact me for a delivery address, e.g., for FedEx or UPS.)

From: discuss at lists.iassistdata.org <discuss at lists.iassistdata.org>
Sent: Monday, June 10, 2019 11:42 AM
To: discuss at lists.iassistdata.org
Cc: Harrison Dekker <hdekker at uri.edu>
Subject: [IASSIST] Reproducibility in Research - IASSIST Quarterly special issue

Reproducibility in research

You are invited to submit a manuscript for a special issue of IASSIST Quarterly on reproducibility in research. We encourage the submission of both general background articles or case studies on any of the topics listed below as well as articles demonstrating how data professionals may advocate for and leverage our expertise to provide support for social scientists conducting research.

·         Reproducibility

·         Replicability

·         Transparent reporting and reporting guidelines

·         Reproducibility guidelines

·         Questionable Research Practices

o    P-hacking

o    HARKing

o    Underpowered Studies

·         Preregistration and registered reports

·         Reproducibility as related to evidence synthesis

·         Data repositories

·         Data curation

·         Data reuse

Manuscripts must be submitted by October 31, 2019. This issue will be co-edited by Harrison Dekker (hdekker at uri.edu<mailto:hdekker at uri.edu>) from the University of Rhode Island and Amy Riegelman (aspringe at umn.edu<mailto:aspringe at umn.edu>) from the University of Minnesota. Authors should adhere to IASSIST Quarterly instructions for authors<https://iassistquarterly.com/index.php/iassist/about/submissions> and upload manuscripts according to the IASSIST Quarterly submission guidelines. When submitting make a note that you are submitting for the special issue on reproducibility.

--

IASSIST (International Association for Social Science Information Service and Technology) is an international organization of professionals working with information technology and data services to support research and teaching in the social sciences.

IASSIST Quarterly (iassistquarterly.com<http://iassistquarterly.com>) is a peer-reviewed, indexed, open access quarterly publication of articles dealing with social science information and data services. ISSN: 0739-1137

--

Amy Riegelman (she, her, hers)
Social Sciences Librarian
University of Minnesota
aspringe at umn.edu<mailto:aspringe at umn.edu>
http://orcid.org/0000-0003-4127-5222
First-Generation College
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