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- Type:
- Dataset
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Leslie, Jamie
- Peticionario:
- Jamie Leslie
- Fecha modificada:
- 01/31/2020
- Fecha modificada:
- 01/31/2020
- Fecha de creacion:
- 2019-04
- Licencia:
- Open Data Commons Public Domain Dedication and License (PDDL)
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- Type:
- Media
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Koshoffer, Amy; Sloane, Lori D ; Navarro, Christy E , and Exner, Nina
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 01/31/2020
- Fecha modificada:
- 02/21/2020
- Fecha de creacion:
- 2020-01-29
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Document
- Descripción/Resumen:
- Programs for solving univariate and multivariate polynomials. load "Univariate"; will load a collection of routines for polynomials in one variable. The file main_univariate shows how to call the different routines. load "solve_overdetermined.txt"; will generate an overdetermined system and the uses the relinearization method to solve it. Delete the first part of the program in order to run it with your own system of equations.
- Creador/Autor:
- Petzoldt, Albrecht; Schmidt, Dieter Sam, and Ding, Jintai
- Peticionario:
- Dieter Sam Schmidt
- Fecha modificada:
- 01/26/2020
- Fecha modificada:
- 01/28/2020
- Fecha de creacion:
- 2020-01
- Licencia:
- Open Data Commons Public Domain Dedication and License (PDDL)
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- Type:
- Generic Work
- Descripción/Resumen:
- UCL developed it's Intranet 3.0 to use all of the Web 2.0 tools. It is a PHP application that uses nodes to manage access to a menu system. These nodes are assigned by users and their Job Titles. Their is email notifications, approval workflows, and plugable modules. There are equipment management, help call management, ARL Stats, Printer Management, HR, and Lockers.
- Creador/Autor:
- Scherz, Thomas
- Peticionario:
- Thomas Scherz
- Fecha modificada:
- 01/13/2020
- Fecha de creacion:
- 01-01-2005
- Licencia:
- Public Domain Mark 1.0
-
- Type:
- Generic Work
- Descripción/Resumen:
- University of Cincinnati Libraries developed various Web 2.0 tools to enhance the Users Experience and direct access to resources through their Social Networking Portals or their browser toolbars. We developed a toolbar for Firefox and Internet Explorer. We had widgets for MySpace, Google, and Facebook. We also had desktop Gadgets for VIsta, Micrsofot Live, and Google Gadgets.
- Creador/Autor:
- Newman, Linda and Scherz, Thomas
- Peticionario:
- Thomas Scherz
- Fecha modificada:
- 01/13/2020
- Fecha de creacion:
- 06-06-2008
- Licencia:
- Public Domain Mark 1.0
-
- Type:
- Generic Work
- Descripción/Resumen:
- Mapping of the SWMM unit tests to the user manual and the codebase
- Creador/Autor:
- Niu, Nan; Lin, Xuanyi, and Peng, Zedong
- Peticionario:
- Nan Niu
- Fecha modificada:
- 12/11/2019
- Fecha modificada:
- 01/24/2022
- Licencia:
- Open Data Commons Open Database License (ODbL)
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- Type:
- Article
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Viana, Javier
- Peticionario:
- Javier Viana
- Fecha modificada:
- 12/04/2019
- Fecha modificada:
- 12/04/2019
- Fecha de creacion:
- November 25, 2019
- Licencia:
- All rights reserved
-
- Type:
- Media
- Descripción/Resumen:
- 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?
- Creador/Autor:
- Koshoffer, Amy
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 12/03/2019
- Fecha modificada:
- 01/31/2020
- Fecha de creacion:
- 2019-12-02
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Article
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Viana, Javier
- Peticionario:
- Javier Viana
- Fecha modificada:
- 11/30/2019
- Fecha modificada:
- 11/30/2019
- Licencia:
- All rights reserved
-
- Type:
- Article
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Viana, Javier
- Peticionario:
- Javier Viana
- Fecha modificada:
- 11/20/2019
- Fecha modificada:
- 11/25/2019
- Fecha de creacion:
- November 19, 2019
- Licencia:
- All rights reserved