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- Type:
- Media
- 摘抄:
- This video is the recording of the fourth webinar RDAP “Ask me Anything” town hall series entitled “Data Management for GIS projects”, held on February 26, 2020. It was jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS was host this webinar. Webinar Description: With federal and other funding agencies wanting to ensure long term access to research output, data management planning for GIS projects has great importance. This webinar shares insight on lessons learned through GIS projects and highlights best practices for different steps in project exploration and creation. Also in this webinar, a geology researcher using GIS techniques and collecting geospatial data will explain how she communicated her use of best practices through a data management plan for a successfully funded NSF grant. Attendees will understand the importance of well-written data management plans, how to put those plans into action through implementing data management planning and reproducible research best practices, and how library engagement can help with data management planning. Presenters: Amy Koshoffer, University of Cincinnati; Jennifer Latessa, University of Cincinnati; and Paula Figueiredo, North Carolina State University Slide deck is also included. About UC–GIS: The University Consortium for Geographic Information Science (UCGIS) is a non-profit organization that creates and supports communities of practice for GIScience research, education, and policy endeavors in higher education and with allied institutions. We are the professional hub for the academic GIS community in the United States, with partnerships extending this capacity abroad.
- 作者:
- Koshoffer, Amy; Paula Marques Figueiredo, and Jennifer Latessa
- 提交者:
- Amy Koshoffer
- 上传日期:
- 02/28/2020
- 更改日期:
- 02/28/2020
- 创建:
- 2020-02-27
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
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- Type:
- Dataset
- 摘抄:
- Fifteen participants from one worksite setting, an academic medical research university, were engaged in a nutrition intervention beginning in March, 2019, lasting 12 weeks. They were measured for height, weight, circumferences (chest, iliac waist, mid-point waist, hips) blood pressure, and dietary intake X 3 at the start and after 3 months.
- 作者:
- Leslie, Jamie
- 提交者:
- Jamie Leslie
- 上传日期:
- 01/31/2020
- 更改日期:
- 01/31/2020
- 创建:
- 2019-04
- 证书:
- Open Data Commons Public Domain Dedication and License (PDDL)
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- Type:
- Media
- 摘抄:
- This webinar was presented to the RDAP community on January 29, 2020 @ 1 pm EST. The goal of the webinar was to raise awareness of the special requirements of clinical data for data management. Managing data has a number of common principles that get applied to each subject domain. As a result, it’s easy to start consideration of data with a disciplinary subject and data structure. But in the health sciences and medicine there is a key issue that has to be asked first: Is it clinical research data? Before delving into metadata standards, FAIR principles, or sharing, a health sciences data librarian often starts with the clinical/nonclinical distinction. But what’s so special about clinical data? What do we even mean when we talk about clinical data? This session will introduce basic concepts in clinical data management, processes that are commonly used by researchers looking to do clinical data research. We will explore how a health sciences library can provide patron support on local infrastructure for accessing and using clinical data for research. We will also provide resources for further exploration by librarians and patrons. Attendees will come away with: (1) a better understanding of basic terminology and data workflows in clinical research data management; (2) a sense of typical workflows that happen with the clinical research data lifecycle; (3) an introduction to systems in clinical data collection and analysis, particularly REDCAP; and, (4) at least one answer to the question of “What’s different about clinical?” When it comes to data. Date: January 29, 2020 @ 1 pm EST Presenters: Nina Exner is the research data librarian at Virginia Commonwealth University, serving both the medical and core campuses. Before joining VCU in 2017, she was a Researcher and Grant Support Services librarian, supporting all disciplines. She received her Master’s in Library Science in 1997 from North Carolina Central University and her Ph.D. in information science from UNC-Chapel Hill in 2019. ORCID 0000-0002-8746-8364 Christy E Navarro joined UC Davis in August of 2019 as Health Library Informaticist at Blaisdell Medical Library. Prior to that she designed privacy programs for large health systems in California, helped implement ecosystems of research data sharing, developed best practice guidelines in data management, and served as the resource of choice for privacy, data de-identification, and research data questions. She brings 20 years of expertise in healthcare informatics, health information exchange, process improvement, program design, population health improvement, human subject research and patient & consumer privacy. Christy has a Master of Science in Health Informatics from UC Davis Health and a Bachelor of Science in Business with an emphasis in Management Information Systems from CSU Sacramento. Lori D Sloane has been working at the University of New Mexico Health Sciences Center since 1990. For the first 23 years, she has been the IT support for researchers on campus. Lori brought REDCap to the University of New Mexico as one of the first 13 sites to pilot this software. She transitioned into a Data Manager position for the Health Sciences Library and Informatics Center seven years ago.
- 作者:
- Koshoffer, Amy; Sloane, Lori D ; Navarro, Christy E , and Exner, Nina
- 提交者:
- Amy Koshoffer
- 上传日期:
- 01/31/2020
- 更改日期:
- 02/21/2020
- 创建:
- 2020-01-29
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
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- Type:
- Article
- 摘抄:
- The time dilation formulas of both the Special Relativity and General Relativity could be studied using a factor dependent on specific energy. Should such factor be used to define the relativistic mass, the equation that arises is an approximation of the mass and energy relation. This mathematical definition of mass is finally compared to the equations that define Dark Matter Annihilation into charged states via loop-level processes.
- 作者:
- Viana, Javier
- 提交者:
- Javier Viana
- 上传日期:
- 12/04/2019
- 更改日期:
- 12/04/2019
- 创建:
- November 25, 2019
- 证书:
- All rights reserved
-
- Type:
- Media
- 摘抄:
- This webinar was presented to the RDAP community on December 2, 2019 at 12 pm EST. The goal of the webinar was to hear from the RDAP community about their experiences with institutional research data policies that regulate the ownership, management, and transfer of research data in an institution. The webinar organizing committee was Sophie Hou, Amy Schuler, and Clara Liebot invited panelists were: Kristin Briney, Biology & Biochemistry Librarian, Caltech University, Heather Coates, Digital Scholarship & Data Management Librarian / Co-Director, Center for Digital Scholarship, Indiana University Purdue University Indianapolis, Abigail Goben, Information Services and Data Management Librarian Associate Professor, University of Illinois-Chicago, Jonathan Petters, University Libraries Data Management Consultant and Curation Services Coordinator, Virginia Polytechnic Institute and State University. Background/Use Case (provided by Clara Llebot of Oregon State University): I work in a research intensive university as the library data management specialist. I have worked occasionally on data policies during my time here, like when we wrote the policy that regulates dataset reviews in our institutional repository. These policies were usually flexible, informative, and a helpful tool for me. Earlier this year I was asked to be part of a committee that would create an institutional research data management policy in our institution. I was thrilled that the library was being asked to participate, and at the same time terrified that I had no idea what I was getting into. I have been generally interested in concepts around data ownership, the interactions between copyright and data, decision making regarding research data, etc., but I felt unprepared.An institutional research data policy is, from my perspective, a policy that affects a lot of people, and that has the potential of changing behaviors and research practices in a way that I am definitely not used to. We are still beginning the process of creating the policy, so right now what I have is mostly questions, not answers, about what an institutional research data policy should say. Main Discussion Questions: 1. Motivations for the policy Is an institutional research data policy necessary in any institution? What are the issues/gaps that we are trying to address through this policy? What should be the goal of an institutional research data policy? 2. Roles and responsibilities Who should be involved in creating this kind of policy? How should the faculty be involved in the creation of this policy? How should a research data policy be enforced? How should students be affected by this policy? 3. Outcomes of existing data policies What is the type of content addressed in an institutional research data policy? Should ownership be a part of it? Are research data policies encouraging or deterring open data? What can we do, when writing this type of policy, to make clear that the university supports open data? Or should this be in different policies? What are some examples of situations that are easier/better because there is a research data policy at an institution?
- 作者:
- Koshoffer, Amy
- 提交者:
- Amy Koshoffer
- 上传日期:
- 12/03/2019
- 更改日期:
- 01/31/2020
- 创建:
- 2019-12-02
- 证书:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Article
- 摘抄:
- The time dilation formulas of both the Special Relativity and General Relativity could be studied using an expression dependent on specific energy. Should such factor be used to define the relativistic mass, the equation that arises is an approximation of the mass and energy relation. An entangled mathematical definition of mass that is finally compared to the equations that define Dark Matter Annihilation into charged states via loop-level processes.
- 作者:
- Viana, Javier
- 提交者:
- Javier Viana
- 上传日期:
- 11/30/2019
- 更改日期:
- 11/30/2019
- 证书:
- All rights reserved
-
- Type:
- Article
- 摘抄:
- The time dilation formulas of both the Special Relativity and the General Relativity could be understood as children of a common expression that uses a factor dependent on the specific energy. Should such factor be used to define the relativistic mass, the equation that arises is an approximation of the mass and energy relation. An entangled mathematical definition of mass that is finally compared to the equations that define Dark Matter annihilation into charged states via loop-level processes.
- 作者:
- Viana, Javier
- 提交者:
- Javier Viana
- 上传日期:
- 11/20/2019
- 更改日期:
- 11/25/2019
- 创建:
- November 19, 2019
- 证书:
- All rights reserved
-
- Type:
- Article
- 摘抄:
- The time dilation formulas of both the Special Relativity and the General Relativity could be understood as children of a common expression that uses a factor dependent on the specific energy. Should such factor be used to define the relativistic mass, the equation that arises is an approximation of the mass and energy relation. An entangled mathematical definition of mass that is finally compared to the equations that define Dark Matter annihilation into charged states via loop-level processes.
- 作者:
- Viana, Javier
- 提交者:
- Javier Viana
- 上传日期:
- 11/20/2019
- 更改日期:
- 11/20/2019
- 创建:
- November 18, 2019
- 证书:
- All rights reserved
-
- Type:
- Article
- 摘抄:
- The time dilation formulas of both the specific relativity and the general relativity could be understood as children of a common expression that uses a factor dependent on the specific energy. Surprisingly when such factor is used to define the relativistic mass, the equation that arises is an extraordinary approximation of the mass and energy relation. An entangled mathematical perspective of both time and mass that opens up again the question of what their definition really is, and which are the factors that modify such variables.
- 作者:
- Viana, Javier
- 提交者:
- Javier Viana
- 上传日期:
- 11/01/2019
- 更改日期:
- 11/01/2019
- 创建:
- November 1, 2019
- 证书:
- All rights reserved
-
- Type:
- Image
- 摘抄:
- Wind power represents one of the most promising sources of renewable energy and improvements to wind turbine design and control can have a significant impact on energy sustainability. This proposal is about a new design for efficient VAWT. Typically, VAWT power output is generated from the difference between the forces on the forward and backward facing blades to the wind direction. That reduces their efficiency as compared to the Horizontal Axis Wind Turbine (HAWT). The current innovation, eliminates the forces on the backward facing blades using dynamic blades which improve their efficiency to be comparablewith the HAWT. In addition, the turbine is fitted with aerodynamic brakes that safely stop the turbine at low and high wind speeds. This safety feature does not exist in any Vertical Axis Wind Turbine in the market. The innovation received the Accelerator to Commercialization award in 2014 from the state of Ohio and University of Cincinnati. Several small size prototypes were builtwhich validated the concept. VAWTs are capable of catching wind from all directions which avoid the need for yaw mechanisms, rudders or downwind coning. The electric generators can be positioned near the ground and are easily accessible for maintenance. The new invention will revolutionize thewind turbines andwind farms technology by improving the VAWT efficiency and safety.
- 作者:
- Viana, Javier and Abdallah, Shaaban
- 提交者:
- Javier Viana
- 上传日期:
- 10/05/2019
- 更改日期:
- 10/05/2019
- 证书:
- All rights reserved