Excel · dataset · 2023
User evaluation of the DigitArq and DigitArq+ interfaces
Listed in INESC TEC Research Data Repository
Description
This dataset is part of a dissertation entitled "Evaluation of the migration of archival records to linked data in the EPISA project" (hdl.handle.net/10216/143042 ). This dataset was generated in an experiment with two groups of users (common users and archivists) of both of the DigitArq platform interface and DigitArq+, a new interface developed in the EPISA project. A script with different questions was developed to evaluate the quality of access and search behavior.
DigitArq is the research platform of the National Archives of Torre do Tombo, that enables users to remotely access certain services, such as viewing scanned documents or reserving documents to be consulted in person.
Links
Get the data
- User evaluation results rdm.inesctec.pt/dataset/e5bc7309-589b-4084-a7e3-1d6e0fe0b725/resource/01ae2303… ↗
download · from rdm inesctec pt
- Evaluation guide rdm.inesctec.pt/dataset/e5bc7309-589b-4084-a7e3-1d6e0fe0b725/resource/30fa3c16… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/cs-2023-002 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=e5bc7309-589b-4084-a7e3-1d6e0fe0b… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- CS: Computer Science
- From keywords
- Computer Science & AI · Engineering
- Inferred from text
- Data management and data science 74%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | e5bc7309-589b-4084-a7e3-1d6e0fe0b725 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].anzsrc:group:4605 | enrichment · rdm inesctec pt | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[topic].ckan_group:rdm_inesctec_pt:cs-computer-science | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |