Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Akmon, Dharma"'
Autor:
Thomer, Andrea K., Akmon, Dharma, York, Jeremy, Tyler, Allison R. B., Polasek, Faye, Lafia, Sara, Hemphill, Libby, Yakel, Elizabeth
Data curation is the process of making a dataset fit-for-use and archiveable. It is critical to data-intensive science because it makes complex data pipelines possible, makes studies reproducible, and makes data (re)usable. Yet the complexities of th
Externí odkaz:
http://arxiv.org/abs/2202.04560
This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track curation work and coordinate team decision-making at ICPSR. Repository
Externí odkaz:
http://arxiv.org/abs/2105.00030
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Akmon, Dharma1 dharmrae@umich.edu, Jekielek, Susan2 jekielek@umich.edu
Publikováno v:
IASSIST Quarterly. 2019, Vol. 43 Issue 3, p1-7. 7p.
Autor:
Akmon, Dharma, Burton, Nichola, David, Romain, Davidson, Sarah, McEachern, Steven, Michalewicz, Aleksandra, Pillai, Priyanka, Rb-Silva, Rita, Spreadborough, Kristal
This document provides a high level summary of theRDA 17 Plenary Session titled "Establishing a Sensitive Data Interest Group" (https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting-edinburgh-virtual/establishing-sensitive-data-interest-grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5e40829ca447372d3656831bf7465c
Autor:
David, Romain, Akmon, Dharma, Burton, Nichola, McEachern, Steven, Michalewicz, Aleksandra, Rb-Silva, Rita, Pillai, Priyanka, Raoul, Hervé, Richard, Audrey, Russell, Keith, Spreadborough, Kristal, Stepanyan, Diana, Stevens, Frankie
Publikováno v:
RDA 17th Plenary Meeting-Edinburgh
RDA 17th Plenary Meeting-Edinburgh, Apr 2021, Edinburg, United Kingdom. 2021, ⟨10.5281/zenodo.4690571⟩
RDA 17th Plenary Meeting-Edinburgh, Apr 2021, Edinburg, United Kingdom. 2021, ⟨10.5281/zenodo.4690571⟩
As sensitive data are increasingly used for research purposes, reducing the risk of data misuse has become particularly crucial. At the same time, as demonstrated during the COVID19 crisis, sharing high-quality data is a sine qua non to assess and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba457e791d3ed2ca77fa1b84432d3a9
https://hal.archives-ouvertes.fr/hal-03226010
https://hal.archives-ouvertes.fr/hal-03226010
Despite large public investments in collecting and using research data, there is little information about data use and reuse and the factors that predict use. ICPSR, a domain repository for the social sciences in the United States, has held a longsta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::066c8470d9aab6d019506504360db6a6
Autor:
Myers, James, Hedstrom, Margaret, Akmon, Dharma, Payette, Sandy, Plale, Beth A., Kouper, Inna, McCaulay, Scott, McDonald, Robert, Suriarachchi, Isuru, Varadharaju, Aravindh, Kumar, Praveen, Elag, Mostafa, Lee, Jong, Kooper, Rob, Marini, Luigi
Publikováno v:
2014 International Conference on Computer Vision Theory & Applications (VISAPP); 2014, p485-494, 10p
Autor:
Akmon, Dharma1 dharmrae@umich.edu
Publikováno v:
Bulletin of the Association for Information Science & Technology. Aug/Sep2014, Vol. 40 Issue 6, p22-25. 4p.
Publikováno v:
Archival Science. Nov2011, Vol. 11 Issue 3/4, p329-348. 20p.