Reflections on the Intermediate Data Structure (IDS)
The Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scientists. This article examines four features of IDS that make it...
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| Format: | Article |
| Language: | English |
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International Institute of Social History
2021-03-01
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| Series: | Historical Life Course Studies |
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| Online Access: | https://openjournals.nl/index.php/hlcs/article/view/9570 |
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| _version_ | 1832574079084789760 |
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| author | George Alter |
| author_facet | George Alter |
| author_sort | George Alter |
| collection | DOAJ |
| description | The Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scientists. This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the Chronicle file. I also consider IDS from the perspective of current discussions about sharing data across scientific domains. We can find parallels to IDS in other fields that may lead to future innovations. |
| format | Article |
| id | doaj-art-09c909a7f85c457aa15033aa4c3a628d |
| institution | Kabale University |
| issn | 2352-6343 |
| language | English |
| publishDate | 2021-03-01 |
| publisher | International Institute of Social History |
| record_format | Article |
| series | Historical Life Course Studies |
| spelling | doaj-art-09c909a7f85c457aa15033aa4c3a628d2025-02-02T01:05:04ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432021-03-011010.51964/hlcs9570Reflections on the Intermediate Data Structure (IDS)George AlterThe Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scientists. This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the Chronicle file. I also consider IDS from the perspective of current discussions about sharing data across scientific domains. We can find parallels to IDS in other fields that may lead to future innovations.https://openjournals.nl/index.php/hlcs/article/view/9570Historical demographyIntermediate Data StructureData sharingLife courseMetadataEvent history analysis |
| spellingShingle | George Alter Reflections on the Intermediate Data Structure (IDS) Historical Life Course Studies Historical demography Intermediate Data Structure Data sharing Life course Metadata Event history analysis |
| title | Reflections on the Intermediate Data Structure (IDS) |
| title_full | Reflections on the Intermediate Data Structure (IDS) |
| title_fullStr | Reflections on the Intermediate Data Structure (IDS) |
| title_full_unstemmed | Reflections on the Intermediate Data Structure (IDS) |
| title_short | Reflections on the Intermediate Data Structure (IDS) |
| title_sort | reflections on the intermediate data structure ids |
| topic | Historical demography Intermediate Data Structure Data sharing Life course Metadata Event history analysis |
| url | https://openjournals.nl/index.php/hlcs/article/view/9570 |
| work_keys_str_mv | AT georgealter reflectionsontheintermediatedatastructureids |