Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Lisa R. Johnston"'
Autor:
Lisa R. Johnston, Jake R. Carlson, Patricia Hswe, Cynthia Hudson-Vitale, Heidi Imker, Wendy Kozlowski, Robert K. Olendorf, Claire Stewart
Publikováno v:
Journal of eScience Librarianship, Vol 6, Iss 1, p e1102 (2017)
Objective: Many academic and research institutions are exploring opportunities to better support researchers in sharing their data. As partners in the Data Curation Network project, our six institutions developed a comparison of the current levels of
Externí odkaz:
https://doaj.org/article/620c87ce483e40e2a789a48e22d9278a
Autor:
Lisa R Johnston, Alicia Hofelich Mohr, Joel Herndon, Shawna Taylor, Jake R Carlson, Lizhao Ge, Jennifer Moore, Jonathan Petters, Wendy Kozlowski, Cynthia Hudson Vitale
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0306199 (2024)
[This corrects the article DOI: 10.1371/journal.pone.0302426.].
Externí odkaz:
https://doaj.org/article/a781309059f14198b61c37e45923af28
Autor:
Lisa R Johnston, Renata Curty, Susan M Braxton, Jake Carlson, Hannah Hadley, Sophia Lafferty-Hess, Hoa Luong, Jonathan L Petters, Wendy A Kozlowski
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0301171 (2024)
Data curators play an important role in assessing data quality and take actions that may ultimately lead to better, more valuable data products. This study explores the curation practices of data curators working within US-based data repositories. We
Externí odkaz:
https://doaj.org/article/02260b39a72848b6a09ec88bc71903dc
Autor:
Lisa R Johnston, Alicia Hofelich Mohr, Joel Herndon, Shawna Taylor, Jake R Carlson, Lizhao Ge, Jennifer Moore, Jonathan Petters, Wendy Kozlowski, Cynthia Hudson Vitale
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0302426 (2024)
Research data sharing has become an expected component of scientific research and scholarly publishing practice over the last few decades, due in part to requirements for federally funded research. As part of a larger effort to better understand the
Externí odkaz:
https://doaj.org/article/a19db6b4484a45ea8aaa0f8d31c3f221
Autor:
Lisa R Johnston, Jake Carlson, Cynthia Hudson-Vitale, Heidi Imker, Wendy Kozlowski, Robert Olendorf, Claire Stewart, Mara Blake, Joel Herndon, Timothy M. McGeary, Elizabeth Hull
Publikováno v:
International Journal of Digital Curation, Vol 13, Iss 1 (2018)
Funders increasingly require that data sets arising from sponsored research must be preserved and shared, and many publishers either require or encourage that data sets accompanying articles are made available through a publicly accessible repository
Externí odkaz:
https://doaj.org/article/6920ee04d7d24416bc65c646edfd54ec
Publikováno v:
Journal of Library Outreach and Engagement. 1:116-129
Most higher-education institutions strive to be publicly engaged and community centered. These institutions leverage faculty, researchers, librarians, community liaisons, and communication specialists to meet this mission, but they have largely under
Publikováno v:
Journal of eScience Librarianship, Vol 10, Iss 3, p 1222 (2021)
Research data curation is a set of scientific communication processes and activities that support the ethical reuse of research data and uphold research integrity. Data curators act as key collaborators with researchers to enrich the scholarly value
Autor:
Lisa R Johnston
Publikováno v:
Research Library Issues. :37-43
Autor:
Elizabeth Coburn, Lisa R Johnston
Publikováno v:
Journal of eScience Librarianship, Vol 9, Iss 1, p 1186 (2020)
Objective: Data curation is becoming widely accepted as a necessary component of data sharing. Yet, as there are so many different types of data with various curation needs, the Data Curation Network (DCN) project anticipated that a collaborative app
Autor:
Jackson L. Frechette, Gopalasamy Reuben Clements, Alexander M. Moßbrucker, Lisa R Johnston, Clarie E. Willard, John R Fieberg, Jayasilan Mohd-Azlan, Ai Suzuki, Thomas N. E. Gray, Brent Loken, Yoan Dinata, Fabiola Iannarilli, Lorraine Scotson, Wai Ming Wong, Oliver R. Wearn, Robert Steinmetz
Publikováno v:
Remote Sensing in Ecology and Conservation. 3:158-172
Camera traps typically generate large amounts of bycatch data of non-target species that are secondary to the study's objectives. Bycatch data pooled from multiple studies can answer secondary research questions; however, variation in field and data