Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Heather A. Piwowar"'
Autor:
Heather A. Piwowar, Todd J. Vision
Publikováno v:
PeerJ, Vol 1, p e175 (2013)
Background. Attribution to the original contributor upon reuse of published data is important both as a reward for data creators and to document the provenance of research findings. Previous studies have found that papers with publicly available data
Externí odkaz:
https://doaj.org/article/229aaa9d26b445a0ae6462997f4709b1
Autor:
Stefanie Haustein, Vincent Larivière, Heather A. Piwowar, Jason Priem, Ashley Farley, Juan Pablo Alperin, Jevin D. West, Lisa Matthias, Bree Norlander
Publikováno v:
PeerJ
Наука и научная информация, Vol 2, Iss 4, Pp 228-247 (2020)
PeerJ, Vol 6, p e4375 (2018)
Наука и научная информация, Vol 2, Iss 4, Pp 228-247 (2020)
PeerJ, Vol 6, p e4375 (2018)
Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f77c3be57b463ad4ce83ec39d41d94c
Publikováno v:
Insights: The UKSG Journal, Vol 26, Iss 2, Pp 153-158 (2013)
SePublica@ESWC
Insights; Vol 26, No 2: July 2013; 153-158
SePublica@ESWC
Insights; Vol 26, No 2: July 2013; 153-158
Altmetrics were born from a desire to see and measure research impact differently. Complementing traditional citation analysis, altmetrics are intended to reflect more broad views of research impact by taking into account the use of digital scholarly
Autor:
Jason Priem, Heather A. Piwowar
Publikováno v:
Bulletin of the American Society for Information Science and Technology. 39:10-13
Editor's Summary Alternative metrics demonstrate the value and influence of scholars' work apart from traditional citation counts and can enhance the impact of a CV. Altmetrics provide additional, supplementary information and can balance misleading
Autor:
Patrick S. Herendeen, Heather A. Piwowar, Mary Liz Jameson, Andrew W. Hill, David R. Maddison, Robert P. Guralnick, Kristofer M. Helgen, Lucinda A. McDade, Morgan L. Vis
Publikováno v:
BioScience. 61:619-625
Stimulated in large part by the advent of the Internet, research productivity in many academic disciplines has changed dramatically over the last two decades. However, the assessment system that governs professional success has not kept pace, creatin
Publikováno v:
ASIST
Data sharing provides many potential benefits, although the amount of actual data reused is unknown. Here we track the reuse of data from three data repositories (NCBI's Gene Expression Omnibus, PANGAEA, and TreeBASE) by searching for dataset accessi
Autor:
Wendy W. Chapman, Heather A. Piwowar
Publikováno v:
Journal of Informetrics. 4:148-156
The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal
Autor:
Heather A. Piwowar, Wendy W. Chapman
Publikováno v:
Journal of Biomedical Discovery and Collaboration. 5:7-20
Background: The ability to locate publicly available gene expression microarray datasets effectively and efficiently facilitates the reuse of these potentially valuable resources. Centralized biomedical databases allow users to query dataset metadata
Autor:
Christina K. Pikas, Jason Priem, Nicholas Weber, Kim Holmberg, Heather A. Piwowar, Alex Garnett
Publikováno v:
ASIST
The scholarly communication ecosystem is changing. Scholars produce and publish a wider range of products than ever before, and scholars and others increasingly interact with these diverse products in new ways within the online ecosystem. The widespr
Autor:
Todd J Vision, Heather A Piwowar
Recently introduced funding agency policies seek to increase the availability of data from individual published studies for reuse by the research community at large. The success of such policies can be measured both by data input (“is useful data b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c2d22ffd29ea04b5edc9fce58c91c7
https://doi.org/10.7287/peerj.preprints.14v1
https://doi.org/10.7287/peerj.preprints.14v1