Data Management for Social Scientists
The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This...
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| 主要作者: | |
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| 格式: | Online |
| 語言: | 英语 |
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Cambridge University Press
2024
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| 主題: | |
| 在線閱讀: | https://library.oapen.org/handle/20.500.12657/94809 |
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| _version_ | 1869524784586424320 |
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| author | Weidmann, Nils B. |
| author_browse | Weidmann, Nils B. |
| author_facet | Weidmann, Nils B. |
| author_sort | Weidmann, Nils B. |
| collection | Directory of Open Access Books |
| description | The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core. |
| format | Online |
| id | doab-20.500.12854ir-148163 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Cambridge University Press |
| publisherStr | Cambridge University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1481632025-07-21T15:45:07Z Data Management for Social Scientists Weidmann, Nils B. Data management thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core. 2024-11-22T04:08:15Z 2024-11-22T04:08:15Z 2024-11-21T13:05:01Z 2023 book https://library.oapen.org/handle/20.500.12657/94809 https://directory.doabooks.org/handle/20.500.12854/148163 eng open access image/jpeg image/jpeg Attribution-NonCommercial 4.0 International Attribution-NonCommercial 4.0 International https://library.oapen.org/bitstream/20.500.12657/94809/1/9781108990424.pdf https://library.oapen.org/bitstream/20.500.12657/94809/1/9781108990424.pdf Cambridge University Press 12615a55-20f1-4eb5-a6c9-5eb6541f63e5 Deutsche Forschungsgemeinschaft DFG - German Research Foundation 242 Cambridge open access |
| spellingShingle | Data management thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general Weidmann, Nils B. Data Management for Social Scientists |
| title | Data Management for Social Scientists |
| title_full | Data Management for Social Scientists |
| title_fullStr | Data Management for Social Scientists |
| title_full_unstemmed | Data Management for Social Scientists |
| title_short | Data Management for Social Scientists |
| title_sort | data management for social scientists |
| topic | Data management thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general |
| topic_facet | Data management thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPH Data science and analysis: general |
| url | https://library.oapen.org/handle/20.500.12657/94809 |
| work_keys_str_mv | AT weidmannnilsb datamanagementforsocialscientists |