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
Wednesday, September 14, 2016
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 -
If you need a map or info about these parking lots, check with Parking Operations and Campus Management.
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 Subheading Graph (https://esperr.github.io/mesh-subhead-graph/)
PubVenn (https://pubvenn.appspot.com/)
-From Ed Sperr, Clinical Information Librarian, via the Medical Libraries Discussion List
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/
- 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
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
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
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
Friday, September 2, 2016
UNCG Libraries closed Monday 9/6 (Labor Day)
Jackson Library and HSML will both be CLOSED on Monday 9/6 (Labor Day)
Library hours are listed on this page: http://library.uncg.edu/hours
Have a good weekend!
Library hours are listed on this page: http://library.uncg.edu/hours
Have a good weekend!
Thursday, September 1, 2016
Nursing students! Want to find court cases?
Hi folks,
The library guide to Nursing 620 has links and instructions for sources that are frequently requested by students in this course: http://uncg.libguides.com/nur620
Including court cases!
If the links and instructions on finding court cases in the LexisNexis Academic database aren't enough of an introduction, feel free to watch this 9 minute video on finding court cases:
Please note - I don't know what NUR 620 students been asked to do this semester, and the instructor of your course is always the best person to ask if you want to find out if a source is acceptable.
The library guide to Nursing 620 has links and instructions for sources that are frequently requested by students in this course: http://uncg.libguides.com/nur620
Including court cases!
If the links and instructions on finding court cases in the LexisNexis Academic database aren't enough of an introduction, feel free to watch this 9 minute video on finding court cases:
Please note - I don't know what NUR 620 students been asked to do this semester, and the instructor of your course is always the best person to ask if you want to find out if a source is acceptable.
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