Data Management Program Workshops & Events
The Data Management Program offers workshops and events to help researchers with their data management needs.
Drop-in hours are available weekly on Wednesdays. For GIS questions, meet Michele Tobias in the Map Room on the lower level (basement) of Shields Library between 2:00 PM and 4:00 PM.
For questions about Data Management, schedule an appointment with Vessela Ensberg.
Data Management Miniseries
The purpose of the miniseries is to enable graduate students and postdocs to tackle common challenges in research, such as being able to keep track of multiple versions of protocols, data files and analyses over time, cleaning messy data, navigate collaborative projects and publish data in a way that will make them easier to find and cite. In Winter 2019 we adopt the Data Carpentry curriculum for the miniseries. The workshops will take place on the indicated date between 2 P.M. and 4 P.M. in the DSI Classroom, room 360 in the Shields Library. To make the most out of the workshops, please, bring your laptops. The workshops build on each other. Please, register.
|This workshop uses material from the Data Carpentry curriculum. We will cover filtering and sorting, examining numbers, data validation, faceting and clustering, reproducible data cleanup (https://datacarpentry.org/OpenRefine-ecology-lesson/)||Install OpenRefine (https://datacarpentry.org/OpenRefine-ecology-lesson/setup.html)|
|7-Feb||This workshop uses material from the Data Carpentry curriculum (https://datacarpentry.org/R-ecology-lesson/01-intro-to-r.html) to introduce R and RStudio, data types, creating objects and vectors, and subsetting vectors and handling missing data. The workshop is intended for students with no prior experience with R. This workshop is taught by Pamela Reynolds, Academic Coordinator for the Data Science Initiative.||Students should have R and RStudio installed prior to class (see instructions here https://datacarpentry.org/R-ecology-lesson/index.html#setup_instructions).|
|14-Feb||This workshop uses material from the Data Carpentry curriculum (https://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html). It will cover inspecting, indexing and subsetting data frames. The students are expected to have attended the Intro to R workshop (covering RStudio, data types and vectors) or have the equivalent skills. This workshop is taught by Jane Carlen, postdoc with the Data Science Initiative.||Have R and RStudio already installed|
|21-Feb||This workshop uses material from Data Carpentry (https://datacarpentry.org/R-ecology-lesson/02-starting-with-data.html#factors). It will focus on working with factors and dates data types. Students are expected to have attended the Intro to R and Starting with Data (Part 1). This workshop is taught by Jane Carlen, postdoc with the Data Science Initiative.||Have R and RStudio already installed|
|28-Feb||This workshop uses material from the Data Carpentry curriculum (https://datacarpentry.org/R-ecology-lesson/03-dplyr.html). We will cover mutating and reshaping data frames and summarizing data with dplyr and tidyr. Students are expected to have attended the previous R workshops.||Students should have the tidyverse package installed prior to class (run install.packages(“tidyverse”) in RStudio|
The UC Davis Library’s Data Management Program & the UC Davis Center for Spatial Sciences are proud to present #maptimeDavis, a geospatial skills workshop series. Maptime is quite literally “time for making maps”. The primary goals of Maptime Davis is to teach skills related to mapping and to provide a forum for the Davis Community to find others with similar interests to facilitate learning. For Winter Quarter 2019, the series has been scheduled for Wednesdays 10:00-12:00 in the DSI (Data Science Initiative) Classroom, room 360 Shields Library (unless otherwise noted).
The repository for materials for this workshop series, including past workshops, are located on the #maptimeDavis repository.
Please register for each session you plan to attend here.
|16 Jan||Mapathon||Sierra Mabanta|
|23-Jan||1 Hour Map Challenge!||Center for Spatial Sciences|
|30-Jan||Interactive Maps with R||Alex Mandel, Nistara Randhawa, Ryan Peek, Mahesh Maskey|
|6-Feb||TBA||Beatriz Martinez-Lopez’s Lab|
|13-Feb||Python for Field Calculations in QGIS and ArcGIS||Nick Santos|
|20-Feb||Lightning Talks||Geospatial Community|
|22-Feb||Geospatial Data Visualization||Michele Tobias|
|27-Feb||Field Data Collection||Derek Young, Sierra Mabanta, Huck Rees, Ofuhre Igbinedion|
|6-Mar||Fire Mapping||Yufang Jin’s Lab|
More Events Coming Soon!Past #maptimeDavis workshop materials and a list of past workshops are available on the [#maptimeDavis github repository](https://github.com/MicheleTobias/MaptimeDavis).
The Data Management has developed a number of workshops that we can offer, including:
- Best practices in data management
- Writing Data Management Plans
- Documenting Data: readMe Files
- GIS workshops – introductory through advanced skills
- Data cleaning with OpenRefine
- Data sharing
We can also work with you to develop new workshops to suit your needs.
This section has a list of events we’ve offered in the past. From this list, you can get a sense of the kinds of workshops and events we can offer and develop.
STRIDE incubator: Over the course of six weeks in the summer we work with you to to train you in skills and tools that will help you advance your project.
Collaborative data management workshop
Practice keeping proper documentation for a collaborative project, find out about tools fro collaborative research and learn how to start projects in Open Science Framework and GitHub
Keeping your data tidy and organized
Practice keeping track of multiple files generated during a project and setting up data validation in spreadsheets to avoid inconsistent entries.
Data Science & Management: Training, Services & Opportunities
New digital technology has led to exponential growth in the amount and complexity of data, from text to images to numerical data. This poses an incredible opportunity to push the envelope within and across scientific, engineering and social fields. In this workshop we will highlight best practices for data management, data science research, and training and services at UC Davis. We will showcase examples of how students from across the university can interact with the Data Science Initiative and the Library’s Data and Digital Scholarship department at all stages of their careers to achieve their research goals and build transferable skillsets for life after graduate school. This workshop is free and is held in conjunction with the UC Davis Graduate Student Orientation (https://grad.ucdavis.edu/node/40608/). Incoming graduate students from all disciplines are encouraged to attend.
When: Fri, September 22, 2017, 2:30 PM – 3:20 PM PDT
Where: Data Science Initiative, Room 360, Shields Library, Davis, CA 95616
Register to attend
Data Rescue Davis
Join us for #DataRescueDavis, where we will work together to backup climate and environmental research and data currently available through federal websites that are at risk of disappearing under the current federal administration.
February 2nd, 2017 – 10:00-4:00 – DSI Space, 360 Shields Library 3rd Floor
Managing research in the digital age
A workshop for researchers—graduate students, postdocs and staff. I will cover best practices in data management, such as documentation, storage and naming conventions and resources available on campus. There will be a hands-on portion in which participants will create readMe files for a case study and start a draft for their own projects. To participate fully they should bring their laptops.
Presented on January 17th, 2017 for Botega Marine Laboratory
Data Management Seminar
Overview of best practices in data management. Topics will include best practices for lab notebooks and readMe files, digital file management, naming conventions, version control, backups and collaboration environments. Also covered will be data management plans, data delivery, creating templates for data standardization and data sharing and preservation.
Presented on November 10, 2016 as part of PMI 298, Research Foundations
Data Management Orientation
Whether you will be doing experimental or computational research or conducting critical studies, you will need to manage the materials you use. It is also very likely that the agency that will fund your project will have requirements for data sharing. This presentation will cover best practices and resources to help you navigate research successfully.
Presented on September 14, 2016 for UC Davis Graduate Student Orientation: Week of Orientation and Welcome
Open Science Framework Workshop
Who: Center for Open Science
When: May 4th, 2016
Times: 9 am – 12 pm (morning session) or 1 pm – 4 pm (afternoon session
Where: DSI Space, Shields Library, UC Davis Campus
There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a workshop, hosted by the Center for Open Science, to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish.
* Project documentation
* Version control
* Pre-Analysis plans
* Open source tools, such as the Center for Open Science’s Open Science Framework, which is an electronic notebook to easily integrate the aforementioned concepts in a workflow.
This workshop is aimed at faculty, staff, and students across disciplines, who are engaged in quantitative research. The workshop does not require any specialized knowledge of programming. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.
The Benefits of ORCID
The Data Management Program at the UC Davis Library is hosting two seminars on the benefits of ORCID, an identifier for researchers, authors and creators. ORCID is now required by publishers like Science, PNAS, PLoS, EMBO, eLife, so this is an opportunity for faculty, staff and students in Ecology who publish in their journals to have their questions answered by Laurel Haak and Douglas Wright, Directors of the ORCID team. The seminars will be held on April 20th in the 2nd Floor Instruction Room in the Shields Library.
3:00 PM The Benefits of ORCID to Individual Researchers, Authors and Creators
4:00 PM The Benefits of ORCID to Research Institutions
Intro to QGIS Workshop
When & Where:
3:00-4:00, Tuesday, June 13th, DSI Classroom, room 360 Shields Library
Bring your laptop with QGIS (2.18) installed – visit QGIS.org for free download
This workshop will introduce participants to QGIS, a powerful open source GIS software. The workshop will cover typical basic GIS software workflow needs such as loading data, changing the way data is displayed, and where to find analysis tools. In addition, participants will learn strategies for finding help with QGIS and tutorials for home learning.
QGIS is a free and open source desktop GIS software. Since its initial development in 2002, QGIS has become one of the industry’s leading software options for GIS. QGIS is used by researchers across the world as well as by many California and Federal agencies in the US. QGIS allows users to access a number of other GIS software packages through its graphical user interface including GRASS as well as user-contributed scripts and plug-ins.