Dataset and selection script: What funds the European Commission on Digital Humanities?

# Dataset and selection script: What funds the European Commission on Digital Humanities? This repository contains the final dataset of European Commission-funded Digital Humanities (DH) projects and the selection script used to produce it, accompanying: > Otero-Borges, L., Bautista-Puig, N., & Martínez-Cardama, S. *What funds the > European Commission on Digital Humanities?* ## Contents ``` data/ dh_projects_selected_n211.csv Output of running select_dh_projects.py on the November 2024 CORDIS bulk export: the final list of 211 selected DH projects scripts/ select_dh_projects.py Project-selection script requirements.txt Python dependencies ``` ## Data source Project data was retrieved from the CORDIS open data portal (https://data.europa.eu), which provides structured bulk exports of all projects funded under the EU Framework Programmes. This study uses the **Horizon 2020 (2014–2020)** and **Horizon Europe (2021–2027)** exports, corresponding to the **November 2024** CORDIS update. Out of a total of 49,868 funded projects in the two programmes, 211 were selected as related to Digital Humanities, using the selection strategy described below. ## Selection strategy A project was included if it matched at least one of the following keywords "digital humanities", "digital humanity", "ehumanities", "e-humanities", "humanities computing", "spatial humanities" in **either**: 1. its title or objective text, **or** 2. the EuroSciVoc thesaurus terms (title/description) assigned to it in CORDIS. The keyword list follows the search terms proposed by Su, Zhang, and Immel (2020), *Digital humanities research: Interdisciplinary collaborations, themes and implications to library and information science*. Journal of Documentation, 77(1), 143–161. ## Dataset columns (`dh_projects_selected_n211.csv`) | Column | Description | |---|---| | `id` | CORDIS project ID | | `acronym` | Project acronym | | `status` | Project status (SIGNED / CLOSED / TERMINATED) | | `title` | Project title | | `startDate`, `endDate` | Project execution period | | `totalCost`, `ecMaxContribution` | Budget figures (EUR) | | `legalBasis`, `masterCall`, `subCall`, `fundingScheme` | CORDIS classification fields | | `frameworkProgramme` | H2020 or HORIZON | | `topics` | CORDIS call topic identifier | | `objective` | Project abstract/objective text | | `has_keywords` | `True` if the project matched the keyword search directly in its title/objective; `False` if it was included only via a matching EuroSciVoc thesaurus term | | `rcn`, `grantDoi`, `ecSignatureDate`, `contentUpdateDate` | CORDIS record metadata | ## Reproducing the selection The script reads the raw CORDIS bulk export files, freely available at https://data.europa.eu/data/datasets/cordisref-data (Horizon 2020 and Horizon Europe project, publication, EuroSciVoc, and organization datasets). Download the following files and place them in the same directory as the script: - `project_h2020.xlsx`, `project_HORIZON.xlsx` - `projectPublications_h2020.xlsx`, `projectPublications_HORIZON.xlsx` - `euroSciVoc_h2020.xlsx`, `euroSciVoc_HORIZON.xlsx` - `organization_h2020.xlsx`, `organization_HORIZON.xlsx` Then install dependencies and run: ```bash pip install -r requirements.txt python scripts/select_dh_projects.py ``` This produces `dh_projects_selected_n211.csv` along with auxiliary files linking the selected projects to their CORDIS-listed publications and participating organizations. ## License Dataset: CC-BY 4.0 Code: MIT License