Data · dataset · 2022
Can web scraped data inform innovation policy? : The BIGPROD Interactive Learning Workshop and the D14 Policy Brief
Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/9dswvt
There is significant interest towards using Big Data and Data Analytics, or Policy Analytics, in policymaking.
Description
This said, a skills gap remains between practitioners and the broad leveraging of Policy Analytics. One of the objectives of the BIGPROD project is to organize an interactive learning workshop to inform public policy experts in the possibilities of Policy Analytics.
The BIGPROD project has, during the last two years, created a framework for using web scraped data in studying innovation. The project has web scraped information from close to 100 000 European Union and United Kingdom based companies, creating novel ways to measure product innovation, digitalization, collaboration and ecosystems and technology use in companies. In the interactive learning session, we will familiarize participants with the data and what type of novel insight can be gained from the data.
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The session will also highlight potential challenged in using big data. These include potential black boxes created through aggregation and modelling, but also questions of data validity. As an expected outcome from participating in the session you will be familiar with 1) the status of Policy Analytics, 2) know the state-of-the-art in creating web scraping based innovation policy measures, 3) know of tool and methods in policy analytics.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2F9DSWVT ↗
landing page · from datasets iisg amsterdam
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.34894%2F9DSWVT ↗
landing page · from portal odissei nl
- DOI doi.org/10.34894/9dswvt ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 2
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2F9DSW… ↗
metadata API · from datasets iisg amsterdam
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2F9DSW… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Social Science · Social Science
- Inferred from text
- Specialist studies in education 72%
Provenance · 2 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/9DSWVT | 11 d ago | JSON v1 |
| ODISSEI Portal | doi:10.34894/9DSWVT | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3904 | enrichment · datasets iisg amsterdam | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |