What is open dataset in data science?5 answersAn open dataset in data science refers to records that are freely accessible, reusable, and distributable without restrictions, except for sharing and attribution requirements. These datasets are crucial for promoting scientific progress by enabling multiple uses of data and reducing duplication of efforts. Open datasets play a significant role in facilitating collaboration, reusability, and data-driven research in various fields, including academia and industry. They provide researchers with the opportunity to combine data into large-scale datasets, fostering collaboration and resource optimization. Despite the challenges associated with sharing personal data, open datasets offer immense potential for transforming research processes across different sectors.
What are the impact of open data in EU?5 answersOpen data has had a significant impact in the European Union (EU). The EU has made its historical procurement notices available for bulk download, leading to increased open bidding for government contracts. This shift towards open bidding is attributed to increased scrutiny by NGOs and investigative journalists, as well as learning by national procurement regulators. However, the introduction of open bidding has also resulted in contracts experiencing costly modifications due to limited discretion in supplier selection and increased pressure to award contracts based on the lowest price. In addition to procurement, open data has also revolutionized the data landscape in the EU, with thousands of government datasets now provided as open data, including high-value datasets. Open data sharing has been particularly valuable during the COVID-19 pandemic, allowing for comparisons of public health and political responses and providing insights for decision-making.
How can open access help researchers?5 answersOpen access (OA) can benefit researchers in several ways. Firstly, it provides quick and free access to academic research, allowing researchers to easily find and access relevant information. This uninhibited access to knowledge and data can be used for societal, educational, and scientific purposes. Secondly, OA publishing can contribute to improved trust in pharmaceutical research, as it removes paywall barriers and provides plain language summaries that are accessible to the public. Thirdly, OA reduces barriers to copying or reuse of research outputs by applying open licenses for copyright, allowing researchers to freely use and build upon existing research. Lastly, OA can address the issue of limited awareness and understanding of open access and preprints among academics, by increasing recognition and providing guidelines for handling preprints in academia. Additionally, in developing countries, OA journals can ensure that research output generated using public funds is accessible to all, overcoming the financial constraints of subscribing to high-cost journals.
What are the benefits and challenges of empowering user-driven innovation through open data in smart cities?5 answersEmpowering user-driven innovation through open data in smart cities has several benefits and challenges. Open data provides opportunities for individuals and entities to access data they might not otherwise obtain, which can lead to increased innovation and empowerment for citizens. It also allows for more efficient and bottom-up innovation policies, making smart places more open, participatory, and experimental. However, there are challenges in implementing open data in practice. Ethical considerations need to be addressed, and there is a gap between abstract principles and the daily work of practitioners. Additionally, there is a need for good judgment and sensitivity to ethical issues in data-driven innovation processes. Furthermore, there are challenges related to data formats, licenses, and the scalability of indicators for decision-making. Overall, while empowering user-driven innovation through open data has the potential for societal benefits, it requires addressing ethical challenges and overcoming practical implementation issues.
What is an open data?3 answersOpen data refers to records that are freely accessible, reusable, and distributable without any restrictions, except for sharing and attribution. It is a concept that promotes the sharing of data to enable its reuse in further research. Open data can be used in various sectors, including scientific research, social sciences, environmental monitoring, and public finance. It allows for the development of dynamic maps, collaborative data collection, and the creation of new datasets. Open data also contributes to transparency, innovation, and the creation of value in both the public and private sectors. Open data is characterized by being openly accessible, exploitable, editable, and shareable by anyone for any purpose, even commercially, and is licensed under an open license.
Open data: Empowering the empowered or effective data use for everyone?4 answersOpen data has the potential to empower the poor and marginalized, but specific measures need to be taken to ensure effective data use for everyone. The increasing computing capability and availability of publicly available data offer opportunities for creating new applications and public services. However, the potential of open data has not been fully explored due to a lack of perspectives and scenarios on its use. Open data can have a significant impact on efficiency, transparency, and participation, but issues such as data quality and sustainability need to be addressed. Dealing with data quality in open datasets poses challenges, as they are often unfamiliar and lack metadata, which calls for further research to improve value generation from open data.