This presentation was provided by Stephanie Roth of Temple University, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
This presentation was provided by Bert Carelli of TrendMD, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
This presentation was provided by Emma Warren-Jones of Scholarcy, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
This presentation was provided by Vincent Cassidy of The IET during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
Traditional metrics, such as the h-index and journal impact factors, are used to measure the scholarly impact of research. However, in the current climate of accountability by funding providers, fund recipients would benefit from a more comprehensive impact management system (IMS) to facilitate the capture and reporting of narratives (including metrics) about research impact in the academy, on social policy, in industry, and ultimately with the public.
Librarians have always been good at telling and facilitating stories. Research support librarians can use their storytelling skills to contribute to the implementation and administration of an impact management system. Being able to translate research impact into harvestable and reportable metadata is the key.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
June 18 NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Keynote Speaker: Altmetrics at the Portfolio Level
- Paul Groth, Ph.D., Assistant Professor at the VU University Amsterdam
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
This presentation was provided by Bert Carelli of TrendMD, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
This presentation was provided by Emma Warren-Jones of Scholarcy, during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
This presentation was provided by Vincent Cassidy of The IET during the NISO event "Researcher Behaviors and the Impact of Technology," held on March 25, 2020.
Traditional metrics, such as the h-index and journal impact factors, are used to measure the scholarly impact of research. However, in the current climate of accountability by funding providers, fund recipients would benefit from a more comprehensive impact management system (IMS) to facilitate the capture and reporting of narratives (including metrics) about research impact in the academy, on social policy, in industry, and ultimately with the public.
Librarians have always been good at telling and facilitating stories. Research support librarians can use their storytelling skills to contribute to the implementation and administration of an impact management system. Being able to translate research impact into harvestable and reportable metadata is the key.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
June 18 NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Keynote Speaker: Altmetrics at the Portfolio Level
- Paul Groth, Ph.D., Assistant Professor at the VU University Amsterdam
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
An introduction to open science for the Library Journal webcast Case Studies for Open Science on February 9, 2016.
http://lj.libraryjournal.com/2016/01/webcasts/case-studies-for-open-science/
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
In early 2014, we asked science and social science researchers...
• What expectations do the terms publication and peer review raise in reference to data?
• What features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication?
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
NISO Altmetrics Initiative: A Project Update
- Martin Fenner, Technical Lead for the PLOS Article-Level Metrics project
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Snowball Metrics: University-owned Benchmarking to Reveal Strengths within All Activities
- Dr. Lisa Colledge, Snowball Metrics Program Director, Elsevier
ALTMETRICS : A HASTY PEEP INTO NEW SCHOLARLY MEASUREMENTSaptarshi Ghosh
The term ‘Altmetrics’ was proposed by Jason Priem, a PhD student at the School of Information and Library Science at University of North Carolina, Chapel Hill through a tweet. [https://twitter.com/asnpriem/status/25844968813].
Altmetrics is the combination of two words such as: ‘Alternative’ and ‘Metrics’ in which the ‘alt-‘part refers to alternative types of metrics (that is alternative to traditional metrics such as citation analysis, impact factor, downloads & usage data etc.).
Altmetrics is the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship (http://altmetrics.org/about/). It is the study of new indicators for the analysis of academic activity based on Web 2.0.
This presentation was provided by Pamela Shaw of Northwestern University during the NISO Webinar, Compliance with Funder Mandates, held on September 14, 2016
This presentation was provided by Sarah Young of Cornell University during a NISO webinar on the topic of Compliance With Funder mandates, held on September 14, 2016.
Capturing and Analyzing Publication, Citation and Usage Data for Contextual C...NASIG
Libraries have long sought to demonstrate the value of their collections through a variety of usage statistics. Traditionally, a strong emphasis is placed on high usage statistics when evaluating journals in collection development discussions. However, as budget pressures persist, administrators are increasingly concerned with looking beyond traditional usage metrics to determine the real impact of library services and collections. By examining journal usage in the context of scholarly communication, we hope to gain a more holistic understanding of the use and impact of our library’s resources. In this session, we begin by outlining our methodology for gathering comprehensive publication and citation data for authors affiliated with Northwestern University’s Feinberg School of Medicine, utilizing Web of Science as our primary data source and leveraging a custom Python script to manage the data. Using this data we discuss various potential metrics that could be employed to measure and evaluate journals in institutional and field-specific contexts, including but not limited to: number of publications and references per journal, co-citation networks, percentage of references per journal, and increases or decreases of references over time per title. We then consider the development of normalized benchmarks and criteria for creating field-specific core journal lists. We also discuss a process for establishing usage thresholds to evaluate existing journal subscriptions and to highlight potential gaps in the collection. Finally, we apply and compare these metrics to traditional collection development tools like COUNTER usage reports, cost-per-use analysis, Inter-Library Loan statistics and turnaway reports, to determine what correlations or discrepancies might exist. We finish by highlighting some use-cases which demonstrate the value of considering publication and citation metrics, and provide suggestions for incorporating these metrics into library collection development practices.
Speakers: Joelen Pastva and Jonathan Shank, Northwestern University
Project GitHub page: https://goo.gl/2C2Pcy
This presentation was provided by Steven Braun of Northeastern University Libraries during the NISO webinar, Using Analytics to Extract Value from the Library's Data, held on September 12, 2018.
A poster presented at the 2016 Annual Meeting of the Medical Library Association on a strategy for identifying emerging technologies through Pubmed searching. This is an outcome from the MLA systematic review project from the association's research initiative.
Different sources of data used to extract for writing a systematic review – p...Pubrica
Systematic reviews have studied rather than reports as the unit of interest. So,many reports of the same study need to be identified and linked together before or after data extraction
• Different Sources of data
• Data Extraction Tools
Continue Reading: https://bit.ly/3c4KMps
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
An introduction to open science for the Library Journal webcast Case Studies for Open Science on February 9, 2016.
http://lj.libraryjournal.com/2016/01/webcasts/case-studies-for-open-science/
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Assessing and Reporting Research Impact – A Role for the Library
- Kristi L. Holmes, Ph.D., Director, Galter Health Sciences Library, Northwestern University, Feinberg School of Medicine
In early 2014, we asked science and social science researchers...
• What expectations do the terms publication and peer review raise in reference to data?
• What features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication?
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
NISO Altmetrics Initiative: A Project Update
- Martin Fenner, Technical Lead for the PLOS Article-Level Metrics project
June 18, 2014
NISO Virtual Conference: Transforming Assessment: Alternative Metrics and Other Trends
Snowball Metrics: University-owned Benchmarking to Reveal Strengths within All Activities
- Dr. Lisa Colledge, Snowball Metrics Program Director, Elsevier
ALTMETRICS : A HASTY PEEP INTO NEW SCHOLARLY MEASUREMENTSaptarshi Ghosh
The term ‘Altmetrics’ was proposed by Jason Priem, a PhD student at the School of Information and Library Science at University of North Carolina, Chapel Hill through a tweet. [https://twitter.com/asnpriem/status/25844968813].
Altmetrics is the combination of two words such as: ‘Alternative’ and ‘Metrics’ in which the ‘alt-‘part refers to alternative types of metrics (that is alternative to traditional metrics such as citation analysis, impact factor, downloads & usage data etc.).
Altmetrics is the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship (http://altmetrics.org/about/). It is the study of new indicators for the analysis of academic activity based on Web 2.0.
This presentation was provided by Pamela Shaw of Northwestern University during the NISO Webinar, Compliance with Funder Mandates, held on September 14, 2016
This presentation was provided by Sarah Young of Cornell University during a NISO webinar on the topic of Compliance With Funder mandates, held on September 14, 2016.
Capturing and Analyzing Publication, Citation and Usage Data for Contextual C...NASIG
Libraries have long sought to demonstrate the value of their collections through a variety of usage statistics. Traditionally, a strong emphasis is placed on high usage statistics when evaluating journals in collection development discussions. However, as budget pressures persist, administrators are increasingly concerned with looking beyond traditional usage metrics to determine the real impact of library services and collections. By examining journal usage in the context of scholarly communication, we hope to gain a more holistic understanding of the use and impact of our library’s resources. In this session, we begin by outlining our methodology for gathering comprehensive publication and citation data for authors affiliated with Northwestern University’s Feinberg School of Medicine, utilizing Web of Science as our primary data source and leveraging a custom Python script to manage the data. Using this data we discuss various potential metrics that could be employed to measure and evaluate journals in institutional and field-specific contexts, including but not limited to: number of publications and references per journal, co-citation networks, percentage of references per journal, and increases or decreases of references over time per title. We then consider the development of normalized benchmarks and criteria for creating field-specific core journal lists. We also discuss a process for establishing usage thresholds to evaluate existing journal subscriptions and to highlight potential gaps in the collection. Finally, we apply and compare these metrics to traditional collection development tools like COUNTER usage reports, cost-per-use analysis, Inter-Library Loan statistics and turnaway reports, to determine what correlations or discrepancies might exist. We finish by highlighting some use-cases which demonstrate the value of considering publication and citation metrics, and provide suggestions for incorporating these metrics into library collection development practices.
Speakers: Joelen Pastva and Jonathan Shank, Northwestern University
Project GitHub page: https://goo.gl/2C2Pcy
This presentation was provided by Steven Braun of Northeastern University Libraries during the NISO webinar, Using Analytics to Extract Value from the Library's Data, held on September 12, 2018.
A poster presented at the 2016 Annual Meeting of the Medical Library Association on a strategy for identifying emerging technologies through Pubmed searching. This is an outcome from the MLA systematic review project from the association's research initiative.
Different sources of data used to extract for writing a systematic review – p...Pubrica
Systematic reviews have studied rather than reports as the unit of interest. So,many reports of the same study need to be identified and linked together before or after data extraction
• Different Sources of data
• Data Extraction Tools
Continue Reading: https://bit.ly/3c4KMps
For our services: https://pubrica.com/services/research-services/systematic-review/
Why Pubrica:
When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
A systematic review (SR) is a rigorous and organized method to synthesize
the evidence from multiple studies on a particular research question or topic.
The purpose of a systematic review is to identify, appraise, and summarize all
available evidence relevant to a specific research question in a transparent
and replicable manner.
It aims to provide a comprehensive overview of academic literature
concerning a particular research question of topic.
This presentation explores the steps nee
Gather evidence to demonstrate the impact of your researchIUPUI
This workshop is the 3rd in a series of 4 titled "Maximize your impact" offered by the IUPUI University Library Center for Digital Scholarship. Faculty must provide strong evidence of impact in order to achieve promotion and tenure. Having strong evidence in year 5 is made easier by strategic dissemination early in your tenure track. In this hands-on workshop, we will introduce key sources of evidence to support your case, demonstrate strategies for gathering this evidence, and provide a variety of examples. These sources include citation metrics, article level metrics, and altmetrics as indicators of impact to support your narrative of excellence.
This workshop is meant to be an introduction to the systematic review process. Further information about systematic reviews was available through a research guide. http://libguides.ucalgary.ca/content.php?pid=593664
On November 21st 2014 at the Tufts University Medford campus and November 25th 2014 at the campus of the University of Massachusetts Medical School in Worcester, the BLC and Digital Science hosted a workshop focused on better understanding the research information management landscape.
Jonathan Breeze, CEO of Symplectic, reflected on the emergence of research information management systems and the resulting benefits they can provide.
A practical guide to do primary research on meta analysis methodology - PubricaPubrica
• Conventional meta-analysis research techniques are extended to accommodate methods and practices found in basic research.
• Apart from clinical research, where consolidation efforts are facilitated by systematic review and meta-analysis research, basic science occasionally use such rigorous quantitative methods.
Reference: http://bit.ly/2N2iVg8
Continue Reading: https://pubrica.com/services/research-services/meta-analysis/
Why Pubrica?
When you order our services, Plagiarism free|onTime|outstanding customer support|Unlimited Revisions support|High-quality Subject Matter Experts.
Contact us :
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
Lecture to course on team science taught in the MS in Clinical Investigation program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School.
What is the formulation of the research question in systematic review | pubricaPubrica
• Formulating a research question is the challenging task for a researcher while initiating a systematic review.
• This article explains the different frameworks available for formulating a high-quality research question which includes PICO, SPIDER, SPICE, ECLIPSE.
• A well-formulated research question needs to have extreme specificity and preciseness that guides the implementation of the systematic review while keeping in mind the identification of variables and population of interest.
Reference: https://pubrica.com/services/research-services/systematic-review/
Why pubrica?
When you order our services, we promise you the following – Plagiarism free, always on Time, outstanding customer support, written to Standard, Unlimited Revisions support and High-quality Subject Matter Experts.
Contact us :
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44- 74248 10299
Required ResourcesThe following resources are required to comple.docxaudeleypearl
Required Resources
The following resources are required to complete the assessment.
· Vila Health: HIMS Cost Benefit Analysis | Transcript.
. This multimedia simulation will enable you to practice analyzing the short- and long-term costs and the benefits of implementing Vila Health's existing health information system at one of the newly-acquired rural hospitals.
SHOW LESS
Suggested Resources
The resources provided here are optional. You may use other resources of your choice to prepare for this assessment; however, you will need to ensure that they are appropriate, credible, and valid. The MHA-FP5064 Health Care Information Systems Analysis and Design for Administrators Library Guide can help direct your research, and the Supplemental Resources and Research Resources, both linked from the left navigation menu in your courseroom, provide additional resources to help support you.
Adoption of Health Information Systems
The following articles examine issues surrounding the adoption of health information systems, which may be helpful when considering cost-benefit analyses.
· Adler-Milstein, J., Everson, J., & Lee, S. D. (2015). EHR adoption and hospital performance: Time-related effects. Health Services Research, 50(6), 1751–1771.
. This study looked for evidence of a relationship between the adoption of an EHR by hospital and hospital performance.
· Ben-Assuli, O., Ziv, A., Sagi, D., Ironi, A., & Leshno, M. (2016). Cost-effectiveness evaluation of EHR: Simulation of an abdominal aortic aneurysm in the emergency department. Journal of Medical Systems, 40(6), 1–13.
. This study examines whether health information technologies are cost-effective by current standards and whether they improve decision making and the quality of care.
· Bergmo, T. S. (2015). How to measure costs and benefits of ehealth interventions: An overview of methods and frameworks. Journal of Medical Internet Research, 17(11), e254.
. Examines how to best apply cost-benefit evaluation methods to health information technologies.
· Price, M., & Lau, F. (2014). The clinical adoption meta-model: A temporal metamodel describing the clinical adoption of health information systems. BMC Medical Informatics & Decision Making, 14(1), 1–23.
. Presents an accessible model to aid implementers, evaluators, and others in the planning and implementation of health information systems.
Writing Resources
You are encouraged to explore the following writing resources. You can use them to improve your writing skills and as source materials for seeking answers to specific questions.
· APA Module.
· Academic Honesty & APA Style and Formatting.
· APA Style Paper Tutorial [DOCX].
Library Resources
· Journal and Book Locator.
· Journal and Book Locator Library Guide.
· Interlibrary Loan.
1/10/2020 Health Information System Cost-Benefit Analysis Scoring Guide
https://courserooma.capella.edu/bbcswebdav/institution/MHA-FP/MHA-FP5064/180700/Scoring_Guides/a04_scoring_guide.html 1/2
Health Information Sy ...
Let's Talk Research Annual Conference - 24th-25th September 2014 (Professor R...NHSNWRD
"Introduction to Evidence Synthesis": Professor Rumona Dickson's presentation provided an overview of evidence synthesis and a platform to refine questions that participants wanted to answer related to their own clinical practice. The workshop also included information detailing how teams of health care professionals might access support for addressing their clinical review questions through the CPD programme of the CLAHRC NWC.
Similar to Roth "Tools to support systematic review research" (20)
This presentation was provided by William Mattingly of the Smithsonian Institution, during the closing segment of the NISO training series "AI & Prompt Design." Session Eight: Limitations and Potential Solutions, was held on May 23, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the seventh segment of the NISO training series "AI & Prompt Design." Session 7: Open Source Language Models, was held on May 16, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the sixth segment of the NISO training series "AI & Prompt Design." Session Six: Text Classification with LLMs, was held on May 9, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fifth segment of the NISO training series "AI & Prompt Design." Session Five: Named Entity Recognition with LLMs, was held on May 2, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the fourth segment of the NISO training series "AI & Prompt Design." Session Four: Structured Data and Assistants, was held on April 25, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the third segment of the NISO training series "AI & Prompt Design." Session Three: Beginning Conversations, was held on April 18, 2024.
This presentation was provided by Kaveh Bazargan of River Valley Technologies, during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by Dana Compton of the American Society of Civil Engineers (ASCE), during the NISO webinar "Sustainability in Publishing." The event was held April 17, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, during the second segment of the NISO training series "AI & Prompt Design." Session Two: Large Language Models, was held on April 11, 2024.
This presentation was provided by Teresa Hazen of the University of Arizona, Geoff Morse of Northwestern University. and Ken Varnum of the University of Michigan, during the Spring ODI Conformance Statement Workshop for Libraries. This event was held on April 9, 2024
This presentation was provided by William Mattingly of the Smithsonian Institution, during the opening segment of the NISO training series "AI & Prompt Design." Session One: Introduction to Machine Learning, was held on April 4, 2024.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the eight and final session of NISO's 2023 Training Series on Text and Data Mining. Session eight, "Building Data Driven Applications" was held on Thursday, December 7, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the seventh session of NISO's 2023 Training Series on Text and Data Mining. Session seven, "Vector Databases and Semantic Searching" was held on Thursday, November 30, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the sixth session of NISO's 2023 Training Series on Text and Data Mining. Session six, "Text Mining Techniques" was held on Thursday, November 16, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fifth session of NISO's 2023 Training Series on Text and Data Mining. Session five, "Text Processing for Library Data" was held on Thursday, November 9, 2023.
This presentation was provided by Todd Carpenter, Executive Director, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
This presentation was provided by Rhonda Ross of CAS, a division of the American Chemical Society, and Jonathan Clark of the International DOI Foundation, during the NISO webinar on "Strategic Planning." The event was held virtually on November 8, 2023.
This presentation was provided by William Mattingly of the Smithsonian Institution, for the fourth session of NISO's 2023 Training Series on Text and Data Mining. Session four, "Data Mining Techniques" was held on Thursday, November 2, 2023.
This presentation was provided by Tiffany Straza of UNESCO, during the two-day "NISO Tech Summit: Reflections Upon The Year of Open Science." Day two was held on October 26, 2023.
More from National Information Standards Organization (NISO) (20)
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Roth "Tools to support systematic review research"
1. Tools to Support
Systematic Review
Research
NISO VIRTUAL CONFERENCE
Researcher Behaviors and the Impact of
Technology
March 25, 2020
Stephanie Clare Roth MLIS
Biomedical & Research Services Librarian
Temple University
Ginsburg Health Sciences Library
@StephanieRothSR
https://orcid.org/0000-0001-5415-1718
CC-BY-NC-SA
4. 4
What is a Systematic
Review?
What is a Systematic Review?
A systematic review is an attempt to collect,
combine, and critically appraise a large body
of literature to answer a focused question
using predefined selection criteria. Formal
and rigorous steps exist to minimize bias and
enhance the trustworthiness or validity of the
results. Methods used must be fully reported
in order to be transparent and reproducible.
(Definition-Stephanie Roth 2020)
5. “
By failing to prepare you are
preparing to fail.
5
Learning Outcome 3.8
The researcher will identify systematic review tools
available to help with all stages of the review process.
Roth, S. (2018). Transforming the systematic review service: a team-based model to support
the educational needs of researchers. Journal of the Medical Library Association, 106(4),
514–520.
6. “
Technology is nothing. What’s important is that you have faith in
people, that they’re basically good and smart, and if you give them
them tools, they’ll do wonderful things with them.--Steve Jobs
6
Learning Outcome 4.4
The researcher will be able to use utilize the latest text mining
technologies as appropriate when building a comprehensive search
strategy.
Roth, S. (2018). Transforming the systematic review service: a team-based model to support
the educational needs of researchers. Journal of the Medical Library Association, 106(4),
514–520.
8. Open Source
and Free
Tools for
Systematic
Reviews
8
Planning Searching
Screening
Data
Abstraction
SR Stages
Temple University HSL Systematic Review Library Research Guide:
https://guides.temple.edu/systematicreviews
9. Tools for PlanningOpen Source
and Free
Tools for
Systematic
Reviews
PRISMA Checklist
PRISMA Flow Diagram
PRISMA-P for Protocols
9
Prospero
OSF Preregistrations
10. Place your screenshot here
10
PROSPERO
For systematic review
protocol registration in the
health sciences.
11. Place your screenshot here
11
OSF
Preregistrations
For any study type, create
a preregistration, option to
sign in with your ORCID
identifier or Institutional
login.
12. Tools for SearchingOpen Source
and Free
Tools for
Systematic
Reviews
Yale MeSH Analyzer
12
PubMed PubReMiner
18. Tools for Data AbstractionOpen Source
and Free
Tools for
Systematic
Reviews
Google Forms/Sheets
Airtable*
18
SRDR-Systematic Review Data
Repository
Sysrev*
* free and subscription
Cochrane Handbook (v. 2019)
Table 5.4.a Considerations in selecting data collection tools
https://training.cochrane.org/handbook/current/chapter-05#section-5-4-2
What data to collect?
https://training.cochrane.org/handbook/current/chapter-05#section-5-3
21. Thank you very much
for your time
21
If you have any questions please don’t hesitate
to contact me at:
▪ Email: stephanie.roth@temple.edu
▪ Twitter: @StephanieRothSR
▪ Link to resources/tools
https://guides.temple.edu/systematicreviews/SRTools
Credits: template by SlidesCarnival