2023 Events

Introduction to Geospatial Data Abstraction Library (GDAL/OGR)

The Geospatial Data Abstraction Library (GDAL/OGR) is an open-source translator library for working with geospatial data. GDAL/OGR contains a variety of useful command line utilities that can be easier or more efficient to use than standalone GIS software or rolling your own code. In this workshop you will learn how to use GDAL to:Inspect and query datasetsConvert data between different formatsUpdate and transform spatial reference systems (projections)Clip and subset dataCreate tile indexes and mosaicsThis workshop will be held online via Zoom.

Georeferencing 101: Bringing Historical Cartographic Materials into a Digital Mapping Context

This workshop covers the basics of georeferencing static images in a GIS using the open source GIS package QGIS. Georeferenced images or maps can be used as contextual layers in a GIS project, or as part of a data extraction process to convert static map data into digital vector data.Setting up for best resultsGeoreferencing from a set of known map coordinatesGeoreferencing by linking to a basemapDigitizing new GIS features from a georeferenced maps

Qualitative Data Drop-in workshop: Intro to NVivo with Esha Chatterjee

Stop by Green Library for the Love Data Fair and learn about NVivo from Qualitaitve Data Consultant, Esha Chatterjee. Esha will be available to demo NVivo and show you how to get started with this qualitative data analysis software. She will be in Green Library - Hohbach Hall from 1-2:30PM on Feb 14th.

Implementing Privacy Reviews in Digital Archival Collections

Stanford Libraries’ digital collections contain personally identifiable information and other forms of high-risk data, such as student, medical, and otherwise sensitive records. Archives staff must abide by archival ethics, state law, federal law, and data security requirements set by Stanford University, while making as much material available to the public as possible. Implementing workflows for high-risk data review creates challenges of scale and sustainability. This presentation will outline why and how to review collections for high-risk data, technical approaches, the ongoing evolution of review guidelines.

Introduction to GeoPandas

GeoPandas is an extension of the open-source Python Data Analysis Library, Pandas, which can be used to read, write, and analyze vector geospatial data formats. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS. In this workshop, we will introduce GeoPandas and learn how to perform a variety of geospatial data science tasks to work efficiently with geographic vector datasets.

Preserving Born-Digital Library Materials and Access through Emulation

Stanford University Libraries’ Born-Digital Preservation lab will demonstrate the preservation of born-digital source media, offering a virtual walk-through of the disk imaging process and demonstration of how emulation can be used as a potential access strategy.

Does Your Data Love You Back? Ensuring Credit for Data Scholarship

Datasets are increasingly recognized as valuable contributions to the scholarly record. Join Zach Chandler, Director of Open Scholarship Strategy, and Rochelle Lundy, Director of the Office of Scholarly Communications, to learn how to maximize the impact of your research data.

Python Data Wrangling

This workshop teaches basic data manipulation with Python using the Pandas library, and will cover topics such as loading data into and out of a Pandas DataFrame, performing basic data cleaning, preparation, and analysis, and visualizing relevant aspects of a dataset.

StoryMaps 101 with the Esri StoryMaps Team

Join members of Esri’s ArcGIS StoryMaps Editorial Team for an introduction to ArcGIS StoryMaps, a digital storytelling tool that enhances your narrative using multimedia and custom maps. Co-hosted by the David Rumsey Map Center (DRMC) and Stanford Geospatial Center (SGC) at Stanford Libraries, this session will include hands-on skill building with a focus on utilizing resources available through Stanford Libraries.

Exploring Decentralized Social Media: Mastodon and the Fediverse

There has been a recent surge of interest in the social media platform Mastodon. Although it appears similar to Twitter in that it is oriented around composing posts and sharing them with followers, Mastodon is very differently organized: rather than join a single corporate-owned platform, users join one of thousands of decentralized "instances" of the open source Mastodon software, each run by different people and catering to different communities.This session will offer an informal tour of Mastodon, discuss how to migrate your social media network from Twitter, and highlight factors to consider when deciding what instance to join, including issues of governance, community moderation and standards development.

Tabletop Tuesday: Decoding the Game of Love

Within the context of Love Data Week, this event explores board games that model or simulate the human emotion of love. These games are intended as entertainment but can also function as data simulations modeling complex relationships and complicated social contexts. In this event, we will evaluate the usefulness of such simulations in modeling human emotions in general and we will examine the specific data points chosen as part of both games. What is really being modeled/studied here? What can we learn from the simulations of human behavior that are on display? What data points are not present in these games?