Many online forms create barriers to filling out information, including obstacles regarding race, gender, and even relationships. Web editors with the best intentions could unintentionally create a barrier for a user, which means the user will get frustrated with a brand and abandon the form. This resource serves as a guide to ensure you are making forms that are as accessible as possible.

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This consent-driven, publicly available dataset enables researchers to better evaluate the fairness and robustness of certain AI models. This was informed and shaped by a comprehensive literature review around relevant demographic categories and was created in consultation with internal experts in fields such as civil rights.

The post Introducing Casual Conversations v2: A More Inclusive Dataset to Measure Fairness appeared first on data.org.

To ensure the most trustworthy and responsible data-driven decisions are made across organizations, this resource provides a central repository of curated, reviewed, and well-organized best practices for various data problems. These problems are both commonly encountered across organizations and are critical to a trustworthy use of data. This resource empowers people working with data to follow approved techniques to solve important products and problems.

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These tools provide users leverage to develop and interact with climate data sources. The ‘Models and Tools’ sheet collects analytics models that process/model raw data with output, such as synthesized indexes, hazard impact prediction, and assessment of risks related to climate, environment, and public health.

The post The CODE Climate Risk Resource Hub appeared first on data.org.

As people have used or heard about the power of OpenAI’s GPT-4 foundation model, they have often been surprised or even astounded. Many have been enthused or excited, but others have been concerned or even frightened. What has become clear to almost everyone is something we noted four years ago—we are the first generation in the history of humanity to create machines that can make decisions that previously could only be made by people. This resource provides best practices for implementing responsible AI systems.

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Data can be a powerful tool, particularly in the social sector, with unique opportunities and challenges alike. By being more strategic in how we engage with data, we have an opportunity to advance our missions, increase impact, and promote equitable outcomes. This course was designed with and for social sector organizations seeking to build capacity in these areas.

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In today’s increasingly digital age, data is being collected at an unprecedented rate through a variety of channels. Data serves as an essential aspect of communication, a key input for decision-making, and a means to evaluate the performance of programs, projects, and policies. However, many people and organizations struggle to unlock the power of data and/or communicate it in the most effective way to achieve impact and inspire action.

This guide shares the building blocks of a data communication strategy to better understand the value and potential of an organization’s data, the two tiers to measure the impact of a strategy, and a worksheet to put a data communication strategy in place. It also provides real-world examples from mission-driven organizations.

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Governments play a critical role in providing data that is vital to addressing today’s most pressing problems and improving people’s lives. It is essential that governments at all levels work collaboratively to share data across the public and private sectors in a responsible manner. This resource is a repository of recent policy developments concerning open data, data reuse, and data collaboration around the world.

The post The State of Open Data Policy Repository appeared first on data.org.

This resource provides guidance to many equity-impacting decisions. Its seven-stage framework provides insight into how to make decisions equitably and then provides a simple explanation. Each stage identifies key equity decision points and provides simple, practical tools to help make those decisions in a way that reflects an organization’s definition of equity.

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The Dataverse Project is an open source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others’ work more easily. Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility.

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Surveys are an important form of data collection to support program improvement and storytelling. We also know it can be challenging to create, disseminate, and analyze surveys amid all your other priorities. This resource shares eleven steps to collect and leverage high-quality survey data.

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Collecting data is essential to determine your organization’s impact and reach, but collecting data remotely can be extremely difficult during virtual programming sessions. With this in mind, it is important to have a plan of action to track and measure success. This resource shares key areas to remember when planning to collect data on virtual programs.

The post Collecting and Tracking Virtual Engagement Data appeared first on data.org.