Topic
Open data
About: Open data is a research topic. Over the lifetime, 4092 publications have been published within this topic receiving 47699 citations. The topic is also known as: od & opendata.
Papers published on a yearly basis
Papers
TL;DR: The results suggest that a conceptually simplistic view is often adopted with regard to open data, which automatically correlates the publicizing of data with use and benefits, and five "myths" concerning open data are presented.
Abstract: Although a significant number of public organizations have embraced the idea of open data, many are still reluctant to do this. One root cause is that the publicizing of data represents a shift from a closed to an open system of governance, which has a significant impact upon the relationships between public agencies and the users of open data. Yet no systematic research is available which compares the benefits of an open data with the barriers to its adoption. Based on interviews and a workshop, the benefits and adoption barriers for open data have been derived. The findings show that a gap exists between the promised benefits and barriers. They furthermore suggest that a conceptually simplistic view is often adopted with regard to open data, one which automatically correlates the publicizing of data with use and benefits. Five ‘myths’ are formulated promoting the use of open data and placing the expectations within a realistic perspective. Further, the recommendation is given to take a user’s view and to actively govern the relationship between government and its users.
1,897 citations
TL;DR: The notion of the data assemblage is introduced, and using it to examine three key components of the data revolution: data infrastructures, open data and Big Data.
Abstract: Despite their importance, little conceptual attention has traditionally been paid to data, at least in comparison with the sophistication and depth of the debate on the nature of knowledge and of information. In contrast, efforts have largely been directed towards the development of sound methods for sampling and analysing in order to ensure the validity of the conclusions made on the back of data. However, these are not—despite their name—a neutral given, but a wholly social construct; therefore, their unpacking is necessary in order to understand how data come into existence, how they do work in the world, and with what consequences. The book does this by introducing the notion of the data assemblage, and using it to examine three key components of the data revolution: data infrastructures, open data and Big Data.
1,113 citations
TL;DR: The Scientific Data WorldPop collection brings together descriptor papers on these datasets built using transparent approaches and is introduced here.
Abstract: High resolution, contemporary data on human population distributions, their characteristics and changes over time are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. WorldPop aims to meet these needs through the provision of detailed and open access spatial demographic datasets built using transparent approaches. The Scientific Data WorldPop collection brings together descriptor papers on these datasets and is introduced here.
851 citations
TL;DR: The open government data life-cycle is described and a discussion on publishing and consuming processes required within open governmentData initiatives is focused on, and guidelines for publishing data are provided and an integrated overview is provided.
788 citations
TL;DR: The establishment of well-curated, federated data repositories will provide a means to preserve data while promoting attribution and acknowledgement of its use.
Abstract: Ecology is a synthetic discipline benefiting from open access to data from the earth, life, and social sciences. Technological challenges exist, however, due to the dispersed and heterogeneous nature of these data. Standardization of methods and development of robust metadata can increase data access but are not sufficient. Reproducibility of analyses is also important, and executable workflows are addressing this issue by capturing data provenance. Sociological challenges, including inadequate rewards for sharing data, must also be resolved. The establishment of well-curated, federated data repositories will provide a means to preserve data while promoting attribution and acknowledgement of its use.
783 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 204 |
| 2024 | 266 |
| 2023 | 412 |
| 2022 | 548 |
| 2021 | 396 |
| 2020 | 518 |