Excel · dataset · 2023
Bibliography and analysis on studies of institutional DMP support services
Listed in INESC TEC Research Data Repository
The dataset is an .xls file that combines the bibliographic information selected to Identify global studies on DMP support in different institutions and understand how institutions provide, implement, and organize DMP support for researchers.
Description
The search was conducted on 14 May 2022 in the Scopus Database, and the dataset contains DMP related bibliography, collected with the following criteria: - Application of inclusion; - Application of exclusion; - Addition of other sources, - Application of exclusion criteria to other sources, - Dimensions of analysis.
This dataset is one of the outputs of the PhD thesis "Research data description in multiple domains: supporting researchers with Data Management Plans", financed by National Funds through the Portuguese funding agency, FCT (Fundação para a Ciência e a Tecnologia) - SFRH/BD/136332/2018, defended by Karimova Yulia on the X of X, 2023, published on X, and cited as: Karimova, Y. "Research data description in multiple domains: supporting researchers with Data Management Plans", PhD thesis, URL: XX.
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Namely, this dataset includes data related to the systematic review described in Chapter 4 of the thesis.
Links
Get the data
- rdm.inesctec.pt /dataset/f367485a-a863-47c6-982f-23575de9ba90/resource/14b913a2… ↗
Institution support for DMP: different ways (systematic review)
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/cs-2023-005 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=f367485a-a863-47c6-982f-23575de9b… ↗
metadata API · from rdm inesctec pt
Topics
- From keywords
- Computer Science & AI · Engineering
- Inferred from text
- Library and information studies 72%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | f367485a-a863-47c6-982f-23575de9ba90 | 11 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:4610 | enrichment · rdm inesctec pt | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| 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 | |
| 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 |