Why "Give Me Some Credit" dataset?5 answersThe "Give Me Some Credit" dataset is not explicitly mentioned in the provided contexts. However, the datasets discussed in the contexts include a dataset of queerphobic YouTube comments for recognizing and moderating hate speech, a dataset of Spanish road images with annotations for training computer vision algorithms, and a dataset of scientific items for recommendation benchmarking and embedding creation. These datasets serve various purposes such as improving social media safety, advancing road computer vision research, and enhancing scientific dataset recommendation systems. While the "Give Me Some Credit" dataset itself is not detailed in the contexts, these examples illustrate the importance of curated datasets in different domains for research, algorithm training, and model evaluation.
How can open data use in COVID?5 answersOpen data has been instrumental during the COVID-19 pandemic, facilitating various aspects of crisis management and research. It has enabled the creation of online applications like Open Data Covid, providing real-time information on the pandemic's progression. Additionally, open data sharing has supported pathogen genomic sequencing efforts, aiding in identifying SARS-CoV-2 variants and informing vaccine development. Research also highlights how open government data (OGD) has been utilized in crisis management during the pandemic, showcasing its role in co-creating new services and generating public value. Furthermore, open data has been crucial for data journalists, allowing them to transform shared datasets into impactful stories for their audiences, especially during the COVID-19 crisis. Overall, open data sharing offers valuable insights for comparing public health responses and trends, aiding in decision-making and enhancing international collaboration.
How can industries benefit from Open Data?5 answersIndustries can benefit from Open Data in various ways. Open data repositories generate sustainable value through information sharing and market mechanisms, enhancing transparency, improving decision-making, and driving efficiency. By utilizing public data, industries can infer demand and understand consumer behavior, as seen in the analysis of the rank-demand relationship for paid apps on Apple's iTunes App Store. Open innovation opportunities now extend to individuals with creative ideas, allowing industries to tap into a diverse pool of talent and ideas. Additionally, open government information systems provide performance-related data, enabling industries to access valuable insights for strategic decision-making and enhancing transparency. Leveraging open data can lead to innovation, efficiency, and strategic advantages for industries.
What are the current platforms for open data?4 answersOpen data platforms are crucial for providing useful information to citizen communities and enabling data-driven decision-making. Some of the current platforms for open data include the Milan Open Data (OD) platform, which has over 1,600 datasets and implements Linked Open Data (LOD) system. Another platform is the open life science data platforms, which categorize platforms based on technology intermediation and domain coverage. Additionally, there are several open data platforms available in the market, such as CKAN, DKAN, Socrata, OpenDataSoft, GitHub, Google datasets, and Kaggle. These platforms offer various technological features, methods, and visualization options for publishing open data. Furthermore, during the COVID-19 pandemic, platforms like Our World In Data, Johns Hopkins University COVID-19 Dashboard, and Global.Health played a transformative role in public health surveillance by providing real-time intelligence about the spread of the virus.
How can open data be used to improve forecasting?5 answersOpen data can be used to improve forecasting in various ways. One approach is to use web search queries as predictors for demand forecasting in transportation industries such as railways. By analyzing the time series of web search queries and correlating them with the demand for train tickets, models like LSTM, MV-LSTM, ARIMA, SARIMA, ARIMAX, and SARIMAX can be used for accurate forecasting. Another application is in the field of finance, where open data can be used to forecast OHLC (open-high-low-close) data in candlestick charts. The constraints in OHLC data can be addressed by using a novel transformation approach, ensuring that forecasting models yield meaningful values. Additionally, open data can be utilized for forecasting dengue fever outbreaks, as demonstrated by the modeling of accumulated dengue fever cases using data from the Malaysian Open Data Government Portal.
What are the challenges and opportunities of using open data for accountability?5 answersOpen data presents both challenges and opportunities for accountability. On one hand, the production and dissemination of open government data in authoritarian regimes can lead to missing or biased data, jeopardizing research integrity and leading to false inferences. Additionally, open data platforms for disasters often make assumptions about data, data users, and the context of use, which can result in gaps in addressing labor, affective aspects of disaster, and power dynamics. On the other hand, open data portals can provide citizens with access to information, enabling them to participate more effectively in democratic processes. Open data also allows for the economic combination of data into large-scale datasets, fostering collaboration and re-use in research. Overall, while challenges exist in terms of data manipulation and assumptions, open data has the potential to enhance accountability by empowering citizens and promoting collaboration and transparency.