GLAM-Workbench/csv-explorer

Cultural institutions are making collection data available as machine readable downloads. But how can researchers explore the shape and meaning of this data? How do they know what types of questions they can ask? This notebook provides a quick overview of CSV-formatted data files, particularly those created by GLAM institutions (galleries, libraries, archives, and museums). You can select one of more than 500 GLAM datasets shared on data.gov.au or upload your own.

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Data and Resources
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Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.5281/zenodo.3544712
URL https://glam-workbench.github.io/csv-explorer/
URL https://zenodo.org/record/3544712
URL http://dx.doi.org/10.5281/zenodo.3544712
URL https://figshare.com/articles/GLAM-Workbench_csv-explorer/11492583
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Source
Attribution

Description: Authorships and contributors

Field Value
Author Sherratt, Tim, 0000-0001-7956-4498
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Zenodo; Datacite; figshare
Hosted By Zenodo; figshare
Publication Date 2019-11-17
Publisher Zenodo
Additional Info
Field Value
Language English
Resource Type Software
system:type software
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/software?softwareId=dedup_wf_001::fc539c7e9ccb7207f223a12b4f5011b3
Author jsonws_user
Last Updated 17 December 2020, 23:20 (CET)
Created 17 December 2020, 23:20 (CET)