An Educator’s Guide to the Open Case Studies
March, 2024
About this guide
0.1 formats.
You can find an online version of this guide at www.opencasestudies.org/OCS_Guide .
PDF versions are available at leanpub.com/opencasestudies_guide .
0.2 Summary
The Open Case Studies project , developed at the Johns Hopkins Data Science Lab , is an education platform that provides self-contained, multimodal, peer-reviewed, and open-source guides for real-world examples for active experiences of complete data analyses.
Case study guides can be used:
In the classroom (either onsite or online) by engaging students to actively participate in a hands-on problem-solving experience.
Outside of the classroom by providing an archive of stand-alone examples of best practices.
To help guide educators on how to most effectively use the Open Case Studies (either in or outside of the classroom), this guide documents various entry points to using the case studies (including an R package to enable modular use of the case studies), examples of how to use the case studies, how to modify and adapt components of the case studies for the classroom, and how to contribute new case studies.
An official website of the United States government
Here’s how you know
The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.
The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.
Featured Resource
Dcat-us schema v1.1 (project open data metadata schema).
How to use Project Open Data Metadata Schema guidelines to document and list agency datasets and application programming interfaces (APIs) for hosting at agency.gov/data and currently in use at data.gov
data schema , open data , DCAT , Project Open Data Metadata Schema , data standards , data inventory
Browse resources by category
Browse resources by keyword, data management & governance.
Playbooks, guidance, templates, and other resources to support the implementation of policy, the creation of data governance structures, and the day-to-day work of data management in the federal government
Software tools and complementary resources to support the hands-on work of data practitioners
Data incubator
Crowdsourcing, prize competitions, public-private partnerships, and other resources to support the incubation of data projects
Skills development
Guides, tutorials, and personnel-related resources to build and develop a data-savvy workforce
Guidance from the Office of Management and Budget on data issues, and other memoranda applicable to federal agencies
Case studies & examples
Articles, use cases, and proof points describing projects undertaken by data managers and data practitioners across the federal government
resources.data.gov
An official website of the Office of Management and Budget, the General Services Administration, and the Office of Government Information Services.
This section contains explanations of common terms referenced on resources.data.gov.
Data Information Literacy Case Study Directory
Home > DILCS
The Data Information Literacy (DIL) Case Studies Directory serves as a repository of materials used to teach students competencies in working with, managing, sharing and curating their research data. Each of the DIL case studies includes a description of the educational program and any accompanying supporting materials such as syllabi, lesson plans, rubrics, exercises or other learning objects. DIL case studies are available for re-use under a CC-BY license and information on how to cite a case study is provided.
See the Aims and Scope for a complete coverage of the journal.
Recent Case Studies
Engineering / Faculty / Sapp Nelson / Purdue University / 2015 Megan R. Sapp Nelson
Electrical and Computer Engineering/ Undergraduates/ Carlson & SappNelson/ Purdue University/ 2012 Jake Carlson and Megan R. Sapp Nelson
Agriculture and Biological Engineering/ Graduate Students/ Bracke & Fosmire/ Purdue University/ 2012 Marianne S. Bracke and Michael Fosmire
Natural Resources / Graduate Students / Wright & Andrews / Cornell University / 2013 Sarah J. Wright and Camille Andrews
Civil Engineering/ Graduate Students/ Johnston & Jeffryes/ University of Minnesota/ 2012 Lisa Johnston and Jon Jeffryes
Ecology/ Graduate Students/ Westra & Walton/ University of Oregon/ 2012 Brian Westra and Dean Walton
Agriculture/ Graduate Students/ Carlson & Bracke/ Purdue University/ 2014 Jake Carlson and Marianne S. Bracke
View More »
- Directory Home
- About This Directory
- Aims & Scope
- Editorial Board
- Submit Case Study
- Most Popular Papers
- Receive Email Notices or RSS
Advanced Search
- DIL Project Homepage
- Follow DIL on Facebook
- Follow DIL on Twitter
- #datainfolit
Home | About | FAQ | My Account | Accessibility Statement
Navigation Menu
Search code, repositories, users, issues, pull requests..., provide feedback.
We read every piece of feedback, and take your input very seriously.
Saved searches
Use saved searches to filter your results more quickly.
To see all available qualifiers, see our documentation .
- Notifications You must be signed in to change notification settings
This repository contains a curated collection of 300 case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
Folders and files, repository files navigation, ml system design case studies repository, description.
Welcome to the ML System Design Case Studies Repository! This repository is a comprehensive collection of 300 case studies from over 80 leading companies, showcasing practical applications and insights into machine learning (ML) system design. Companies like Netflix, Airbnb, and Doordash have shared their experiences, providing a valuable resource for anyone interested in learning how ML is used to improve products and processes.
- Wide Range of Industries : Explore case studies from various industries such as tech, finance, healthcare, and more.
- Diverse ML Applications : Learn about different ML use cases, including computer vision (CV), natural language processing (NLP), recommender systems, search and ranking, fraud detection, and many more.
- Product Features : Discover how ML powers specific user-facing features, from grammatical error correction to generating outfit combinations.
Why This Resource is Valuable
- Authentic and In-depth : Each case study is sourced from detailed blogs, papers, or articles about ML systems developed in-house, providing genuine and firsthand insights.
- Practical Applications : The studies cover real-world ML systems that are actively used in production, offering practical and proven examples.
- Focused and Detailed : The case studies focus on specific ML use cases, providing clear and comprehensive information on the target users, model designs, evaluation criteria, and deployment architectures.
- Short Description : Use the discription to quickly find case studies relevant to your interests.
- Explore and Learn : Dive into the detailed descriptions and implementations to gain a deeper understanding of ML system design.
- Share and Collaborate : If you find the database helpful, spread the word and contribute to the repository by suggesting new case studies.
Enjoy exploring the wealth of knowledge in these case studies and enhance your understanding of machine learning system design!
Real-world ml systems.
For more information, visit Evidently AI - ML System Design and ML Systems Design
IMAGES
VIDEO
COMMENTS
May 28, 2015 · LET US KNOW if you are aware of other compilations of open data examples and case studies we should include as to complete the below overview… by emailing Stefaan Verhulst (stefaan at thegovlab.org) and/or David Sangokoya (david at thegovlab.org). 1. Open Data Case Study Repositories 2. Open Data Portal Repositories 3.
National Renewable Energy Laboratory API Case Study. This case study describes the launch of the National Renewable Energy Laboratory (NREL) Developer Network in October 2011. The main goal was to build an overarching platform to make it easier for the public to use NREL APIs and for NREL to produce APIs.
2.6.5 Downloading all case study data. The zip_ocs() function will download the all of the repository files in a .zip folder and unzip them into a specified directory. This includes the case study data in all the formats detailed above (raw, simpler_import, imported, wrangled, and extra).
Sep 23, 2020 · The Open Case Studies project is an educational resource of experiential guides that demonstrate how to effectively derive knowledge from data in real-world challenges. All case studies can be found in our OCS search tool. Our case studies can be used: by educators to help them teach; by students to help them with their classes; by independent ...
Guide for the Open Case Studies Project. 0.2 Summary. The Open Case Studies project, developed at the Johns Hopkins Data Science Lab, is an education platform that provides self-contained, multimodal, peer-reviewed, and open-source guides for real-world examples for active experiences of complete data analyses.
Resources.data.gov is an online repository of policies, tools, case studies and other resources to support data governance, management, and use throughout the federal government
May 1, 2018 · role of multi-institutional library collaboration in acquiring research data management (RDM) capacity. The three case studies that follow are instructive examples of how the concepts detailed in the strategic frames play out in real-world circumstances, and most importantly, how libraries worked together to address them.
The Data Information Literacy (DIL) Case Studies Directory serves as a repository of materials used to teach students competencies in working with, managing, sharing and curating their research data. Each of the DIL case studies includes a description of the educational program and any accompanying supporting materials such as syllabi, lesson ...
Ohio Data Warehouse Case Study Interview Questions . Intended Respondent Roles: State Administrator . 1. When did the OH Mental Health and Addiction Services incorporate data into the warehouse? 2. What type of data do you send to the warehouse? 3. What challenges were encountered/overcome during planning for data integration (e.g.,
This repository is a comprehensive collection of 300 case studies from over 80 leading companies, showcasing practical applications and insights into machine learning (ML) system design. Companies like Netflix, Airbnb, and Doordash have shared their experiences, providing a valuable resource for anyone interested in learning how ML is used to ...