The final component of the Fall Data Workshop series are three workshops on aspects of data management, presented by Ryan Womack, Data Librarian, and Aletia Morgan, Research Data Manager at Rutgers University Libraries.

To go directly to the registration page for this series, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

Data management workshops for Fall 2014 will be held in Room 413 on the 4^th floor of Alexander Library (169 College Avenue).  Workshops are held on Thursdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Description of Workshops:

§ Best Practices for Managing Your Data  (Oct 9)

This workshop is targeted to graduate students who are generating data for their own research.  The session discusses methods to organize, describe, backup, and archive your research data in order to ensure its future usability and accessibility.  Developing good habits for handling your data from the start will save time and frustration later, and increase the ultimate impact of your research.

Additional data management resources can be found here: http://libguides.rutgers.edu/datamanagement

§ Data Management Plans, Data Sharing and Archiving (Oct 23)

This workshop is targeted to researchers who need to write data management plans (DMPs) and share their data as part of their grant application, research and publication process.  It reviews DMP guidelines, checklist, and general advice, along with options for sharing and permanently archiving research data.

§ Reproducible Research (Oct 30)

The workshop is targeted to any interested faculty and students who are interested in learning about the growing interest in making the products of research accessible and usable by others in order to verify, replicate, and extend research findings.  It reviews how to plan research, to create publications, code, and data in open, reusable formats, and maximize the impact of shared research findings.

Register for the workshops here

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

September 2014

This Fall, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management, as part of the Libraries Data Services.  This announcement outlines the schedule of workshops for the first weeks of September, and provides a preview of upcoming October events.  To go directly to the registration page, click here.  A detailed calendar and descriptions of each workshop are below.

Logistics

All workshops for Fall 2014 will be held in Room 413 on the 4^th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays and Thursdays from 1:10-2:30 pm according to the schedule below.  Room capacity is limited to 25.

Room 413 has R installed on its workstations.  You are also welcome to bring your laptop if you want to follow along with the exercises, but this is not required.  SPSS, Stata, and SAS sessions will use the apps.rutgers.edu remote system.

If you can’t make the workshops, or would like a preview or refresher, screencast versions of many of the presentations are already available  at http://libguides.rutgers.edu/data.  Additional screencasts will be added for the newer workshops in the series.

Calendar of workshops

 Register for the workshops here

Description of Workshops:

§ Introduction to R (Sept 9, Sept 16, and Sept 23) – This 3-part series provides an orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  Due to its open nature, thousands of additional packages have been created by contributors to implement the latest statistical techniques, making R a very powerful tool.  No prior knowledge is assumed. The three parts cover:

(Sept 9) Part I – Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages

(Sept 16) Part II – Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages

(Sept 23) Part III – Data Manipulation:  data import and transformation, additional methods for working with large data sets

Additional R resources, including handouts, scripts, and screencast versions of the workshops, can be found here: http://libguides.rutgers.edu/data_R

R is freely downloadable from http://r-project.org

§ Introduction to SPSS (Sept 11) provides a single session overview of navigating the basics of SPSS.  SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines.  If you are already using SPSS with some degree of success, this session may be too basic for you.

Copies of the workshop materials, a screencast, and additional SPSS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208425

SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SPSS is also available in campus computer labs and via the Apps server (see below).

§ Introduction to Stata (Sept 18) provides a single session overview of navigating the basics of Stata.  Stata is flexible and allows relatively easy access to programming features.  It is popular in economics among other areas. If you are already using Stata with some degree of success, this session may be too basic for you.

Copies of the workshop materials, a screencast, and additional Stata resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208427

Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  Find it at software.rutgers.edu.

§ Introduction to SAS (Oct 2) provides a single session overview of navigating the basics of SAS.  SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. If you are already using SAS with some degree of success, this session may be too basic for you.

Copies of the workshop materials, a screencast, and additional SAS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208423

SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs and via the Apps server (see below).
 

Note: Accessing software via apps.rutgers.edu

SPSS, SAS, Stata, and R are available for remote access on apps.rutgers.edu.  apps.rutgers.edu does not require any software installation, but you must activate the service first at netid.rutgers.edu.

In October, the workshops will continue at the same times (Tuesday and Thursday afternoons, 1:10-2:30), also in Alexander Library 413.

On Tuesdays, the R series will continue, including:

§ Data Visualization in R  in 3 parts (basics, more methods, interactive & big data)

§ Time Series in R 

§ Survival Analysis in R 

On Thursdays, other topics in Data Management will be addressed, including:

§ Data Management Best Practices 

§ Data Management Plans, Data Sharing and Archiving

§ Reproducible Research

Additional data management resources can be found here: http://libguides.rutgers.edu/data,management

Logistics, again

To repeat, all workshops will be held in room 413 on the 4^th floor of Alexander Library (169 College Avenue).  Workshops run from 1:10-2:30 pm.

 Register for the workshops here

Rutgers University Libraries Data Services Workshop Series (New Brunswick)

Fall 2013

This Fall, Ryan Womack, Data Librarian, will give a series of workshops on statistical software, data visualization, and data management as part of the Libraries Data Services.

Logistics

All workshops for Fall 2013 will be held in the Teleconference Lecture Hall on the 4^th floor of Alexander Library (169 College Avenue).  Workshops are held on Tuesdays and Thursdays from 7-8:30 pm according to the schedule below.  On two dates, indicated with *, we will start at 7:15 instead of 7.   These are open workshops, registration is not necessary.

This room does not have its own computers.  You can bring your laptop if you want to follow along with the exercises, but this is not required.

Screencast versions of the presentations will be made available about the same time as the workshop dates at http://libguides.rutgers.edu/data.

Calendar of workshops

Description of Workshops:

§ Introduction to R (Sept 17, Sept 24, and Oct 1) – This 3-part series provides an orientation to the R programming environment.  R is freely available, open source statistical software that has been widely adopted in the research community.  Due to its open nature, thousands of additional packages have been created by contributors to implement the latest statistical techniques, making R a very powerful tool.  No prior knowledge is assumed. The three parts cover:

    (Sept 17) Part I – Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages

    (Sept 24) Part II – Graphics:  comparison of graphing techniques in base R, lattice, and ggplot2 packages

    (Oct 1) Part III – Data Manipulation:  data import and transformation, additional methods for working with large data sets

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

§ Introduction to SPSS (Sept 19) provides a single session overview of navigating the basics of SPSS.  SPSS is widely used statistical software with strengths in survey analysis and other social science disciplines.  If you are already using SPSS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional SPSS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208425

SPSS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SPSS is also available in campus computer labs and via the Apps server (see below).

§ Introduction to SAS (Sept 26) provides a single session overview of navigating the basics of SAS.  SAS is a powerful and long-standing system that handles large data sets well, and is popular in the pharmaceutical industry, among other applications. If you are already using SAS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional SAS resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208423

SAS is made available by OIRT at a discounted academic rate, currently $100/academic year.  Find it at software.rutgers.edu.  SAS is also available in campus computer labs and via the Apps server (see below).

§ Introduction to Stata (Oct 3) provides a single session overview of navigating the basics of Stata.  Stata is flexible and allows relatively easy access to programming features.  It is popular in economics among other areas. If you are already using SAS with some degree of success, this session may be too basic for you.

Copies of the workshop materials and additional Stata resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208427

Stata is made available by OIRT via campus license with no additional charge to install for Rutgers users.  Find it at software.rutgers.edu.

Note: Accessing software via apps.rutgers.edu

SPSS, SAS, Stata, and R are available for remote access on apps.rutgers.edu.  apps.rutgers.edu does not require any software installation, but you must activate the service first at netid.rutgers.edu.

§ Data Visualization in R (Oct 10, Oct 17, Oct 24) discusses principles for effective data visualization, and demonstrates techniques for implementing these using R.  Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.  The three parts are:

(Oct 10) Part I – Principles & Use in lattice and ggplot2: discusses classic principles of data visualization (Tufte, Cleveland) and illustrates them with the use of the lattice and ggplot2 packages.  Some of the material here overlaps with Intro to R, pt 2, but at a higher level.        

 (Oct 17) Part II – Miscellany of Methods: illustrates a wide range of specific graphics for different contexts   

 (Oct 24) Part III – 3-D, Interactive and Big Data: presentation of 3-D data, interactive exploration data, and techniques for large datasets

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

§ Time Series in R (Oct 15) is a special topics session covering the use of functions that analyze time series in R.  Content roughly parallels the material presented in more detail in the book Introductory Time Series with R (available via SpringerLink).

Additional R resources can be found here: http://libguides.rutgers.edu/content.php?pid=115296&sid=1208422

R is freely downloadable from http://r-project.org

§ Data Management Best Practices (Oct 29) is targeted to graduate students who are generating data for their own research.  The session discusses methods to organize, describe, backup, and archive your research data in order to ensure its future usability and accessibility.  Developing good habits for handling your data from the start will save time and frustration later, and increase the ultimate impact of your research.

Additional data management resources can be found here: http://libguides.rutgers.edu/data,management

Logistics, again

To repeat, all workshops will be held in the Teleconference Lecture Hall on the 4^th floor of Alexander Library (169 College Avenue).  Workshops run from 7-8:30 pm (except for the two delayed starts indicated in the table above). 

These are open workshops, registration is not necessary.

Screencast versions of the presentations will be made available about the same time as the workshop dates at http://libguides.rutgers.edu/data.