Facts & Comparisons eAnswers Moves to Redesigned Interface

Facts & Comparisons eAnswers Logo

 

 

Facts & Comparisons eAnswers is moving to their new redesigned interface and retiring the legacy view by the end of the month.  The library links to Facts & Comparisons eAnswers will continue to go to the legacy view until March 24, 2017.

Check out the new interface by clicking on the “Enter New Site” button.

For tips on how to use the new interface and enhanced content and tools, check out training videos and the quick reference guide also available from the lower right-hand corner of the Facts & Comparison eAnswers home page.

 

LabArchives Electronic Lab Notebook

The Donald C. Harrison Health Sciences Library, with funding from the University of Cincinnati’s Office of the Provost, is pleased to present the LabArchives Electronic Lab Notebook.

LabArchives has been selected as the Electronic Lab Notebook (ELN) vendor of choice due to its ability to assist in maintaining compliance, and to capture, secure and control data.

LabArchives:

  • Provides discipline agnostic tools and plugins to increase functionality, research efficiency, and management of laboratory data.
  • Is compliant with Federal mandates including: Family Education Rights and Privacy Act (FERPA), Internet2 Guidelines, FDA- 21 CFR Part 11 and the Health Insurance Portability and Accountability Act (HIPPA).
  • Is a secure and intuitive cloud-based application enabling researchers to easily create, store, share and manage their research data.
  • Provides a flexible, extensible platform that can be easily customized to match your lab’s workflow providing benefits to Principal Investigators, lab managers’ staff, post doctoral fellows and grad students.
  • Can be integrated seamlessly with GraphPad Prism, MS-Office, PubMed, Box, Learning Management Systems and other software tools that are used extensively by Academic Health Center and university wide researchers.
  • Works on multiple platforms and devices including Mac, Windows, Android and iPad, allowing researchers to store and access their data virtually from anywhere with Internet access.

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Love Your Data Week Day 5 Rescuing Unloved Data

Today’s LYD post is by Amy Koshoffer, Science Informationist based at the Geology Math and Physics Library with editorial support from Dr. Eric J. Tepe, Assistant Professor of Biology and Curator of the Margaret H. Fulford Herbarium.

It has been sometime since I stepped over the threshold of my old lab in the Care/Crawley Building. Many changes occurred in the interim including a move to another floor of the building. There are times I miss the bench research and the data I created in my time as a senior research assistant. One of my favorite techniques was microscopy and particularly Electron Microscopy (EM). I remember the multitude of samples processed, the long wait for samples to be ready to image and then finally all the amazing images we captured. Processing samples for EM imagining is a long and sometimes challenging technique. The samples need to be dehydrated and then infiltrated with a resin to stabilize the structures and prevent destruction from the electron beam during viewing. You might not know if a sample has been ideally preserved until you get to the imaging lab and begin to examine the sample. But what joy when the images look amazing with crisp detail and no water holes. So much work and resources went into the sample preservation and acquiring images.

I wonder what will happen to that effort in the years and decades to come. Are there others who might want to use the physical samples and digital images in their own work? Did I do what was needed to make sure that someone could reuse all the data created? Continue reading

Love Your Data Week Day 4 – Finding the Right Data

Today’s LYD post is by Don P. Jason III, MLIS, MS, Clinical Informationist based at the Donald C. Harrison Health Sciences Library.

Welcome to Day 4 of “Love Your Data Week!” Whether you’re a student analyzing a data set for a school project or a researcher combining data sets to create new insights, finding the right data is essential! This blog post will list a few places you can look to find free, authoritative and unique data sets. The data sets have be broken down into three categories:  US Government Data Sets, International Data Sets and Google Data Sets.

US Government Data Sets

Data.gov http://data.gov – This web site has an eclectic mix of datasets from criminal justice to climate data.  This government site encourages people to use the data to create web and mobile applications and design data visualizations.

US Census Bureau http://www.census.gov/data.html – This web site provides data on the US population and economy.  Utilizing this site’s data has never been easier thanks to new: API’s, data visualizations, mobile apps and interactive web apps.

Healthdata.gov https://www.healthdata.gov/ – This web site includes US healthcare data.  The site is dedicated to making high value health data more accessible to entrepreneurs, researchers and policy makers.

National Climatic Data Center http://www.ncdc.noaa.gov/data-access/quick-links#loc-clim – This is the world’s largest archive of weather data. It has a robust collection of environmental, meteorological and climate data sets from the US National Climatic Data Center.

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Love Your Data Week Day 3 – Good data examples

Today’s Love Your Data Week’s post is by Tiffany Grant PhD, Interim Assistant Director for Research and Informatics at the Health Sciences Library (HSL) and Research Informationist.

Data, FAIR Data

If asked to define good data, the definitions would run the gamut, as the interpretation of the term will be specific to the types and formats of data typically collected by the individual. However, simply put, good data meets the standard of being of good quality, and data quality generally refers to the ability of data to serve the use it was intended. In short, data quality hinges on the reliability and application efficiency of data. The combination of good data quality and data documentation ensures accurate interpretation and reproducibility. Beyond documentation, a number of federal mandates dictate that data be shared beyond one’s own lab notebook, and in order to ensure proper interpretation and reproducibility of your data, it must be FAIR.

 

 

 

 

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Love Your Data Week Day 2 Documenting, Describing and Defining

Today’s Love Your Data Week’s post is by Tiffany Grant PhD, Interim Assistant Director for Research and Informatics at the Health Sciences Library (HSL) and Research Informationist.

The Big 3 of Data

Documenting, describing and defining your data are the 3 most critical components of good data management and your data legacy. If done properly, documentation ensures accurate interpretation and reproducibility of your data. Additionally, it improves the integrity of the scholarly record by providing a more complete picture of how your research was conducted.

Data Things to Do

  1. Document all file names and formats associated with your project
  2. Describe how your data was derived including a description of any equipment and/or software used in the process
    1. Describe your file naming conventions and folder structures
  3. Define any abbreviations, variables or codes used in your data or your file names/folders

Big 3 Data Basics

Who: Who are the contributors?

What: What kind of data was collected and what analyses were done to generate the data?

Why: Why was the project started, i.e. what questions did you hope to answer?

Where: Where did you get your data (if you aren’t the creator)? What is the physical location of the data?

How: How was your data generated?  

Message of the day

Good documentation tells people they can trust your data by enabling validation, replication, and reuse.

Love Your Data Week Day 1 Defining Data Quality

Today’s LYD post features the thoughts of Dylan Shields, the Graduate Assistant for the Chemistry-Biology Library and Chemistry Graduate Student in Anna Gudmundsdottir’s Lab.

Welcome back to another edition of Love Your Data Week!!

The first topic for this week is going to focus on DEFINING DATA QUALITY!

So what IS data quality? Well, first off it is important to note that data quality definitions and practices can differ quite vastly depending on the field of study. However, there are a few markers of data quality that can be broadly applicable to most research. These markers include: accuracy, consistency, completeness, and accessibility.

So what are these markers and why are they important?

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Love Your Data Week 2017

Drop the roses and the box of chocolate because Love Your Data week is almost here.  All next week, the UC Libraries informationist team will be blogging loving tips about how to best care for your research data.  The theme for 2017 is emphasizing data quality for researchers at any stage in their career and the daily topics are:

Feb 13th  – Defining Data Quality

Feb 14th Documenting, Describing, Defining

Feb 15th  Good Data Examples

Feb 16th –  Finding the Right Data

Feb 17thRescuing Unloved Data

Follow the action or join in on Twitter using hashtags (#LYD17 #loveyourdata)

 

Other social media outlets will be Facebook, Instagram and Pinterest.

So much better for you and your data than a box of chocolate!

Questions and comments to AskData@uc.edu

Undergraduate Research Conference + PRaISE

Undergraduate Research Conference + PRaISE

April 20, 2017 | 12 – 3 p.m.

Nippert West Pavilion & Tangeman University Center

UC’s Undergraduate Research Conference is THE venue for students of all disciplines to present their creative and scholarly works. All projects are evaluated and considered for competition. The three most highly rated projects within each Scholarly Theme (see below) will receive certificate awards.

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Upcoming Grant Writing Seminars

Opportunity: Grant Writing Seminars and a Workshop presented by Grant Writers’ Seminars and Workshops LLC

 Deadline: Registration deadline (including payment of fee, where applicable) is March 17, 2017

April 19, 2017, 1 pm – 5:00 pm: Grant Writing: Getting Started, a half-day seminar on how to begin the grant writing process. The seminar will cover basic information, such as how to develop a fundable idea, the fundamentals of a grant, how to write for reviewers, and preparation of the application. Fee $100.00. No prerequisite. A workbook is included. Continue reading

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