Wednesday, October 12, 2016

trial access until Friday 11/4 - Joanna Briggs EBP database

UNCG has free trial access to Joanna Briggs Institute Evidence Based Practice Resources.  This trial has been extended until Friday 11/4/2016.

This link will allow UNCG faculty, students and staff to log in with an iSpartan account.  Choose Joanna Briggs from the list of products, then start using this resource!

More information:

Joanna Briggs Institute EBP Resources on OVID is a database of over 5,000 full text documents, including Best Practices and Systematic Reviews.  These resources can be used to illustrate the 7 Steps of Evidence Based Practice Research to students.  JBI has even developed a Faculty User Guide to assist you in assigning research to your students, so they can learn the fundamentals of research and how evidence guides decision making in practice.  Click here for a video demonstration   

The database provides access to tools for implementing evidence based practice, such as JBI TAP (for small–scale qualitative studies execution), JBI PACES (for clinical audits and change practice), etc. More information here.

 The database also contains the 6 document types listed below.  The database is updated multiple times monthly with any new research that is developed by JBI.
·        Best Practice Information Sheet (BPIS) are short summaries based on the results and recommendations of systematic reviews. BPIS are easily disseminated and provide busy health professionals access to key issues and recommendations that have been collected from a large volume of material.
·        Best Practice Technical Reports are provided as a complementary publication to document all aspects of the development of Best Practice Information Sheets.
·        Consumer Information Sheets (CIS) are standardized summaries on a wide range of health care interventions and activities targeted at consumers of health care i.e. patients/residents/clients, relatives, and carers. Each Consumer Information Sheet is based on the best available international evidence and each year, every existing entry is updated and new entries are added in response to requests from members and subscribers.
·        Evidence-Based Recommended Practice (EBRP) are interventions or procedures that describe and/or recommended certain practices on selected clinical topics. Recommended Practices are based on the best available evidence and each practice consists of an equipment list, a recommended practice, occupational health and safety provisions, and an adjoining evidence summary where evidence is available.
·        Evidence Summaries (ES) are short abstracts that summarize existing international evidence on common health care interventions and activities. Evidence summaries are based on structured searches of the literature and selected evidence-based health care databases.
·        Systematic Reviews (and protocols) (SR) are an analysis of all of the available literature (that is, evidence) and involves developing a question; establishing inclusion criteria; developing a strategy to comprehensively search for the evidence; appraising the quality of each paper; excluding papers of poor quality; extracting the findings of included papers; and synthesizing the findings of included papers. PDF format only.

 

Thursday, October 6, 2016

UNCG Instructors- Apply for an Information Literacy Course Development Grant

The UNCG University Libraries will offer three $1,000 awards for courses to be taught in spring 2017 to support restructuring a course in order to more intentionally integrate information literacy and research. This award is open to anyone who teaches a course at the undergraduate or graduate level and has the authority to make substantive changes to that course.

The purpose of the Information Literacy Course Development Awards is to support instructors in revitalizing courses to foster information literacy skills. These re-envisioned courses will incorporate information literacy throughout the semester, teaching students to locate, evaluate, synthesize, and cite sources in the manner most appropriate for the subject area.

The Libraries will hold a workshop on October 13 at 2:00 in the Faculty Center to discuss the awards and give professors the opportunity to workshop their ideas with librarians.

Details and application process are available here. 

Please contact Amy Harris Houk at a_harri2@uncg.edu with questions.

Tuesday, October 4, 2016

Archive of Data on Disability to Enable Policy and research (ADDEP)

Webinar from the ICPSR - 
Introduction to the Archive of Data on Disability to Enable Policy and research (ADDEP)
Join us for a webinar on Nov 10, 2016 at 1:00 PM EST.
Register now!
Archive manager Alison Stroud and staff provide an introduction to the Archive of Data on Disability to Enable Policy and research (ADDEP) at ICPSR. They describe how ADDEP will successfully facilitate disability and rehabilitation research will also be provided. Also, they highlight ADDEP's new website and tools as well as additional tools and resources available at ICPSR.

ADDEP is supported by grant P2CHD065702 awarded to the CLDR by the NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering.

This webinar is free and open to the public. Please share this invitation broadly.
After registering, you will receive a confirmation email containing information about joining the webinar.

Wednesday, September 14, 2016

Thursday 9/15 from 8 am - 9 am EST testing in PubMed, MeSH, PubMed Central, etc.

NCBI has announced some testing tomorrow morning from 8 to 9 am:

"NCBI will be testing https on public web servers from 8:00 to 9:00 AM EDT (13:00-14:00 UTC) on Thursday, September 15. You may experience problems with NCBI web sites during that time."

The sites that I expect would have the biggest impact: PubMed, PubMed Central, and the MeSH database.

More information is here: https://www.ncbi.nlm.nih.gov/home/bulletins/https-tests.shtml

Monday, September 12, 2016

News from Recreation and Wellness

For on campus students and anyone else who pays for Kaplan Center membership -

I just got this email about parking near the Kaplan Center -

"Lot 49, located next to the Kaplan Center on Neal St., is an "A" permit lot from 8am to 5pm, Monday through Friday.  Outside of those hours, Lot 49 is an open lot and no permit is required to park there.

POCAM has now changed Lot 50 at the corner of Aycock Street and Gate City Blvd to be open to more UNCG parking permits.  It is now open to A B C KA KB KC MA MB MC WA WB WC & SGB.

We do ask that you do not park on Haywood Street, McCormick Street or Neal Street.  These neighborhood streets are for Glenwood residents only, not UNCG student or employees visiting the Kaplan Center. Please help UNCG be a good neighbor to our Glenwood friends.  Thank you for your cooperation and understanding.

The Recreation & Wellness Staff"

If you need a map or info about these parking lots, check with Parking Operations and Campus Management.

Thursday, September 8, 2016

MEDLINE Visualization Tools

Do you use PubMed on daily basis?

Are you interested in seeing visual overviews of how your keyword searches match up to MeSH heading, and to articles in MEDLINE?

Try one of these MEDLINE Visualization Tools!

MeSH Category Graph (https://esperr.github.io/mesh-cat-graph/)
  • start with a keyword search and compare the broad categories your results are indexed under (e.g. "anatomy", "diseases",  etc.), to those of MEDLINE as a whole

MeSH Subheading Graph (https://esperr.github.io/mesh-subhead-graph/) 
  • will plot a set of MEDLINE results against the 23 "explodable" subheadings

PubVenn (https://pubvenn.appspot.com/) 
  • " Enter any multi-term search to see the relative size of the citation set for each term as well as how those sets interact."

-From Ed Sperr, Clinical Information Librarian, via the Medical Libraries Discussion List

Wednesday, September 7, 2016

Webinar series - Fundamentals of Data Science

The BD2K Guide to the Fundamentals of Data Science Series

Every Friday beginning September 9, 2016

12pm - 1pm Eastern Time / 9am - 10am Pacific Time


Working jointly with the BD2K Centers-Coordination Center (BD2KCCC) and the NIH Office of Data Science, the BD2K Training Coordinating Center (TCC) is spearheading this virtual lecture series on the data science underlying modern biomedical research. Beginning in September 2016, the seminar series will consist of regularly scheduled weekly webinar presentations covering the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to “big data” biomedicine. The seminar series will provide essential training suitable for individuals at all levels of the biomedical community. All video presentations from the seminar series will be streamed for live viewing, recorded, and posted online for future viewing and reference. These videos will also be indexed as part of TCC’s Educational Resource Discovery Index (ERuDIte), shared/mirrored with the BD2KCCC, and with other BD2K resources.

View all archived videos on our YouTube channel: 
https://www.youtube.com/channel/UCKIDQOa0JcUd3K9C1TS7FLQ

Please join our weekly meetings from your computer, tablet or smartphone.
https://global.gotomeeting.com/join/786506213
You can also dial in using your phone.
United States +1 (872) 240-3311
Access Code: 786-506-213 
First GoToMeeting? Try a test session: http://help.citrix.com/getready

SCHEDULE
9/9/16:  Introduction to big data and the data lifecycle (Mark Musen, Stanford).
9/16/16: SECTION 1: DATA MANAGEMENT OVERVIEW (Bill Hersh, Oregon Health Sciences).
9/23/16: Finding and accessing datasets, Indexing  and Identifiers (Lucila Ohno-Machado, UCSD).
9/30/16: Data curation and Version control (Pascale Gaudet, Swiss Institute of Bioinformatics).
10/7/16: Ontologies (Michel Dumontier, Stanford).
10/14/16: Provenance(Zachary Ives, Penn).
10/21/16: Metadata standards (Susanna-Assunta Sansone, Oxford).

10/28/16: SECTION 2: DATA REPRESENTATION OVERVIEW  (Anita Bandrowski, UCSD).
11/4/16:  Databases and data warehouses, Data: structures, types, integrations (Chaitan Baru, NSF).
11/11/16: No lecture - Veteran's Day.
11/18/16: Social networking data (TBD).
12/2/16:  Data wrangling, normalization, preprocessing (Joseph Picone, Temple).
12/9/16:  Exploratory Data Analysis (Brian Caffo, Johns Hopkins).
12/16/16  Natural Language Processing (Noemie Elhadad, Columbia).

The following topics will be covered in January through May of 2017:
SECTION 3: COMPUTING OVERVIEW
  Workflows/pipelines
  Programming and software engineering; API; optimization
  Cloud, Parallel, Distributed Computing, and HPC
  Commons: lessons learned, current state

 SECTION 4: DATA MODELING AND INFERENCE OVERVIEW
   Smoothing, Unsupervised Learning/Clustering/Density Estimation
   Supervised Learning/prediction/ML, dimensionality reduction
   Algorithms, incl. Optimization
   Multiple testing, False Discovery rate
   Data issues: Bias, Confounding, and Missing data
   Causal inference
   Data Visualization tools and communication
   Modeling Synthesis

SECTION 5: ADDITIONAL TOPICS
   Open science
   Data sharing (including social obstacles)
   Ethical Issues
   Extra considerations/limitations for clinical data
   Reproducible Research
   SUMMARY and NIH context