Best Practices in Data Management at Ocean Networks Canada: a Citizen Scientist case study

Author(s):  
Mitchell Wolf ◽  
Geovany Trejos ◽  
Maia Hoeberechts ◽  
Ryan Flagg ◽  
Reyna Jenkyns ◽  
...  
2021 ◽  
Author(s):  
Eli K. Moore ◽  
Adam Kriesberg ◽  
Steve Schroeder ◽  
Kerrie Geil ◽  
Inga Haugen ◽  
...  

Author(s):  
Kevin B. Read

Background: Librarians and researchers alike have long identified research data management (RDM) training as a need in biomedical research. Despite the wealth of libraries offering RDM education to their communities, clinical research is an area that has not been targeted. Clinical RDM (CRDM) is seen by its community as an essential part of the research process where established guidelines exist, yet educational initiatives in this area are unknown.Case Presentation: Leveraging the author’s academic library’s experience supporting CRDM through informationist grants and REDCap training in our medical center, we developed a 1.5 hour CRDM workshop. This workshop was designed to use established CRDM guidelines in clinical research and address common questions asked by our community through the library’s existing data support program. The workshop was offered to the entire medical center 4 times between November 2017 and July 2018. This case study describes the development, implementation, and evaluation of this workshop.Conclusions: The 4 workshops were well attended and well received by the medical center community, with 99% stating that they would recommend the class to others and 98% stating that they would use what they learned in their work. Attendees also articulated how they would implement the main competencies they learned from the workshop into their work. For the library, the effort to support CRDM has led to the coordination of a larger institutional collaborative training series to educate researchers on best practices with data, as well as the formation of institution-wide policy groups to address researcher challenges with CRDM, data transfer, and data sharing.


2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Teresa Paiva

Background: The theoretical background of this article is on the model developed of knowledge transfer between universities and the industry in order to access the best practices and adapt to the study case in question regarding the model of promoting and manage innovation within the universities that best contribute with solution and projects to the business field. Objective: The development of a knowledge transfer model is the main goal of this article, supported in the best practices known and, also, to reflect in the main measurement definitions to evaluate the High Education Institution performance in this area. Methods: The method for this article development is the case study method because it allows the fully understanding of the dynamics present within a single setting, and the subject examined to comprehend what is being done and what the dynamics mean. The case study does not have a data collection method, as it is a research that may rely on multiple sources of evidence and data which should be converged. Results: Since it’s a case study this article present a fully description of the model proposed and implemented for the knowledge transfer process of the institution. Conclusion: Still in a discussion phase, this article presents as conclusions some questions and difficulties that could be pointed out, as well as some good perspectives of performed activity developed.


Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Denker ◽  
Sonja Grün ◽  
Thomas Wachtler ◽  
Hansjörg Scherberger

Abstract Preparing a neurophysiological data set with the aim of sharing and publishing is hard. Many of the available tools and services to provide a smooth workflow for data publication are still in their maturing stages and not well integrated. Also, best practices and concrete examples of how to create a rigorous and complete package of an electrophysiology experiment are still lacking. Given the heterogeneity of the field, such unifying guidelines and processes can only be formulated together as a community effort. One of the goals of the NFDI-Neuro consortium initiative is to build such a community for systems and behavioral neuroscience. NFDI-Neuro aims to address the needs of the community to make data management easier and to tackle these challenges in collaboration with various international initiatives (e.g., INCF, EBRAINS). This will give scientists the opportunity to spend more time analyzing the wealth of electrophysiological data they leverage, rather than dealing with data formats and data integrity.


2019 ◽  
Vol 48 (3-4) ◽  
pp. 107-119
Author(s):  
Pamela Espinosa de los Monteros

AbstractThe digitization and online dissemination of the Popol Vuh, a historical indigenous knowledge work, poses distinct ethical, legal, intellectual, and technological concerns for humanities researchers and information practitioners seeking to study and digitally curate works through a decolonized consciousness. Ongoing debates on data sovereignty, the repatriation of cultural artifacts, and cultural appropriation question the ability of researchers and information practitioners to effectively steward indigenous knowledge works in a digital environment. While consensus on best practices for the postcolonial digital library or archive remain to be established, information inequity continues to persist, effacing indigenous knowledge, languages, and content from the knowledge society. The following case study will discuss the results of a 10-year multi-institutional initiative to curate, repatriate, and steward the reproduction of an indigenous knowledge work online. From the vantage point of the library, the case study will explore the project’s successes, failures, and the work left to be done.


2018 ◽  
Vol 72 (3) ◽  
pp. 332-337
Author(s):  
Deb Autor ◽  
Zena Kaufman ◽  
Ron Tetzlaff ◽  
Maryann Gribbin ◽  
Madlene Dole ◽  
...  

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