The Data Management Program offers workshops and events to help researchers with their data management needs.

Drop-In Hours

Drop-in hours are available weekly on Wednesdays.  For questions about Data Management, meet Vessela Ensberg in room 360 in the Shields Library (the Data Science Initiative classroom) between 3:00 PM and 4:00 PM.  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.

 

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. The workshops will take place on the indicated date between 1 P.M. and 3 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 are designed to be independent, so don’t worry if you have to miss one. Please, register.

Date Topic/Registration Description Requirements
Apr-4 Register for

Clean and Tidy Data


 

In this workshop we will cover best practices in collecting and entering data in spreadsheets and demonstrate how to clean a messy dataset. Students will learn how to set up data validation to ensure consistency for numeric and text entries. Students practice using OpenRefine to clean incorrect and inconsistent data entries, such as misspellings and multiple data points and data types entered in a single cell. This workshop will be particularly useful for researchers who work with tabular data, collect data collaboratively or need to code their data entries. Download and install OpenRefine prior to the start of the workshop or come 30 min early for assistance with installation.
Apr-11 Register for

Data Sharing and Intro to API


 

In this class we are going to discuss the principles and practices of making data findable, accessible, interoperable and reusable. We will demonstrate the functionalities of the UC Davis instance of the Dash data repository. We will introduce the application programming interface and demonstrate how to access data in Dash via web API. The majority of the workshop requires no previous experience.
This workshop is provided in collaboration between the Data Management Program and the Data Science Initiative.
The instructors will provide a conceptual overview of all topics, including the data retrieval process. However, students who want to follow along for the hands-on accessing data via Dash API should have R and RStudio installed and be able to run a script in R.
Apr-18 Register for

Collaborative Data Management


 

Do you keep data in Google Drive, but your collaborators prefer Box? Do you have to ask and e-mail colleagues to find out which dataset and analysis versions to use? This workshop was created to help students overcome challenges of doing research and project management in a collaborative digital environment. We will cover best practices for organizing files and folders, naming conventions and documentation. Students will be introduced to GitHub and Open Science Framework and initiate projects those platforms.
Apr-25 Register for

Intro to Relational Databases and SQL


 

Have your spreadsheets become too unwieldy? Have you wondered whether you need a database, but don’t know where to start? In this workshop students will learn how to set up relational databases on their own laptops and enter and query data. We will introduce best practices in designing database schemas and keeping appropriate documentation. We will demonstrate creating tables, data validation, foreign keys, importing data from spreadsheets, and SQL queries.
This workshop is taught in collaboration with the Social Science Data Service.
Students must have DB Browser for SQLite already installed. Students who experience difficulties with installation, should arrive 30 min early for assistance.

Maptime Davis

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 2018, the series has been scheduled for Tuesdsays 1:00-3:00 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.

Date Topic Speaker
10-Apr Is My Research Mappable?
An introduction to map making
and GIS for researchers Register
Michele Tobias
17-Apr  Field Work Prep: Craft Center Tour + GPS
***Meet at the Craft Center  Register
 Jared Tolla
(UCD Craft Center) &
Scott Herbert
(California Survey & Drafting Supply)
24-Apr  Mapping Surface Water Change with Earth Engine
***1:00-4:00  Register
 Ani Ghosh
1-May  Learn to High Performance Compute: Geo style  Register  Alex Mandel
8-May  OSM Mapathon
***Locatin TBA  Register
 Emily Hurry & The Geospatial Community
15-May  Collecting Location Data with Phones and Tablets  Register  Alex Mandel
22-May  Remote Sensing with Planet  Register  Orestis Herodotou (Planet)
29-May  RSpatial.org Species Distribution Modeling: Bigfoot Example  Register  Elise Hellwig

Past #maptimeDavis workshop materials and a list of past workshops are available on the [#maptimeDavis github repository](https://github.com/MicheleTobias/MaptimeDavis).

More Events Coming Soon!

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
  • More Workshops Coming Soon!

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.

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

Materials from the workshop

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.

Slides from the workshop

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

Materials from the event

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.

Topics covered:

* 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

Prepare:

Bring your laptop with QGIS (2.18) installed – visit QGIS.org for free download

Description:

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.

About QGIS:

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.