cometadata/datacite-affiliations-matched-ror

---
license: cc0-1.0
task_categories:
- text-classification
language:
- en
tags:
- research
- affiliations
- ror
- datacite
- metadata
- scholarly-infrastructure
pretty_name: DataCite Affiliations Matched to ROR
size_categories:
- 100M<n<1B
configs:
- config_name: doi_author_affiliations
data_files:
- split: train
path: data/doi_author_affiliations/*.parquet
- config_name: enriched_records
data_files:
- split: train
path: data/enriched_records/*.parquet
- config_name: ror_matches
data_files:
- split: train
path: data/ror_matches/*.parquet
- config_name: ror_matches_failed
data_files:
- split: train
path: data/ror_matches_failed/*.parquet
- config_name: unique_affiliations
data_files:
- split: train
path: data/unique_affiliations/*.parquet
- config_name: existing_assignments
data_files:
- split: train
path: data/existing_assignments/*.parquet
- config_name: existing_assignments_aggregated
data_files:
- split: train
path: data/existing_assignments_aggregated/*.parquet
- config_name: disagreements
data_files:
- split: train
path: data/disagreements/*.parquet
---

# DataCite Affiliations Matched to ROR

This dataset contains author affiliation data extracted from DataCite metadata records, matched against the Research Organization Registry (ROR).

## Dataset Description

- **Source:** [DataCite Public Data File](https://datacite.org/)
- **ROR Version:** [v2.1-2026-01-15-ror-data](https://doi.org/10.5281/zenodo.18260365)
- **Processing Tool:** [match-datacite-affiliations-to-ror-ids](https://github.com/cometadata/match-datacite-affiliations-to-ror-ids)
- **Total Records:** 294,704,394
- **Total Size:** 69.40 GB
- **Match Rate:** 52.78%

## Dataset Configurations

| Configuration | Records | Size |
|---------------|---------|------|
| `doi_author_affiliations` | 158,351,335 | 36.01 GB |
| `enriched_records` | 5,640,704 | 4.92 GB |
| `ror_matches` | 731,798 | 134.62 MB |
| `ror_matches_failed` | 654,780 | 91.80 MB |
| `unique_affiliations` | 1,386,578 | 113.57 MB |
| `existing_assignments` | 127,865,845 | 28.11 GB |
| `existing_assignments_aggregated` | 58,760 | 11.01 MB |
| `disagreements` | 14,594 | 4.94 MB |

## Configuration Details

### `doi_author_affiliations`

Flattened author-affiliation pairs extracted from DataCite records. Each row represents one author-affiliation relationship.

**Schema:**
- `doi` (string): The DOI of the work
- `author_idx` (int): Index of the author within the work
- `author_name` (string): Name of the author
- `affiliation_idx` (int): Index of the affiliation for this author
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string

### `enriched_records`

Original DataCite records enriched with ROR IDs where matches were found.

**Schema:**
- `doi` (string): The DOI of the work
- `creators` (list): List of creator objects with nested affiliation data including matched ROR IDs

### `ror_matches`

Successful affiliation-to-ROR matches.

**Schema:**
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string
- `ror_id` (string): Matched ROR ID

### `ror_matches_failed`

Affiliations that could not be matched to a ROR ID.

**Schema:**
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string
- `error` (string): Reason for match failure

### `unique_affiliations`

List of all unique affiliation strings found in the dataset.

**Schema:**
- `affiliation` (string): Raw affiliation string

### `existing_assignments`

Pre-existing ROR assignments found in DataCite records. Each row represents one author-affiliation-ROR relationship that was already present in the source data.

**Schema:**
- `doi` (string): The DOI of the work
- `author_idx` (int): Index of the author within the work
- `author_name` (string): Name of the author
- `affiliation` (string): Raw affiliation string
- `ror_id` (string): Pre-existing ROR ID in the DataCite record
- `ror_name` (string): Name of the ROR organization

### `existing_assignments_aggregated`

Aggregated view of pre-existing ROR assignments, grouped by affiliation string and ROR ID.

**Schema:**
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string
- `ror_id` (string): Pre-existing ROR ID
- `ror_name` (string): Name of the ROR organization
- `count` (int): Number of occurrences of this affiliation-ROR pair

### `disagreements`

Cases where the newly matched ROR ID differs from a pre-existing ROR assignment, or where multiple conflicting ROR IDs exist.

**Schema (type="match"):**
- `type` (string): "match" - disagreement between new match and existing assignment
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string
- `existing_ror_id` (string): Pre-existing ROR ID in DataCite
- `existing_ror_name` (string): Name of existing ROR organization
- `existing_count` (int): Occurrences of this existing assignment
- `matched_ror_id` (string): Newly matched ROR ID
- `matched_ror_name` (string): Name of newly matched organization

**Schema (type="user"):**
- `type` (string): "user" - multiple conflicting user-submitted ROR IDs
- `affiliation` (string): Raw affiliation string
- `affiliation_hash` (string): MD5 hash of the normalized affiliation string
- `ror_ids` (list): List of conflicting ROR assignments with counts

## Statistics

### Top 20 Most Common Matched ROR IDs

| ROR ID | Count |
|--------|-------|
| https://ror.org/01kzn7k21 | 8,097 |
| https://ror.org/034t30j35 | 4,024 |
| https://ror.org/036rp1748 | 2,798 |
| https://ror.org/04y75dx46 | 2,730 |
| https://ror.org/05qrfxd25 | 2,514 |
| https://ror.org/01tmp8f25 | 1,948 |
| https://ror.org/052gg0110 | 1,626 |
| https://ror.org/05591te55 | 1,553 |
| https://ror.org/02en5vm52 | 1,489 |
| https://ror.org/042aqky30 | 1,455 |
| https://ror.org/02kkvpp62 | 1,389 |
| https://ror.org/03490as77 | 1,350 |
| https://ror.org/04xfq0f34 | 1,322 |
| https://ror.org/00rcxh774 | 1,248 |
| https://ror.org/013meh722 | 1,211 |
| https://ror.org/00987cb86 | 1,201 |
| https://ror.org/011647w73 | 1,191 |
| https://ror.org/05qbk4x57 | 1,184 |
| https://ror.org/001w7jn25 | 1,179 |
| https://ror.org/019qzkn95 | 1,177 |

### Error Distribution (Failed Matches)

| Error Type | Count |
|------------|-------|
| No match found | 654,775 |
| HTTP 414 URI Too Long | 5 |

### Existing Assignment Coverage

| Metric | Value |
|--------|-------|
| Total records with existing ROR assignments | 127,865,845 |
| Unique affiliations with existing assignments | 57,016 |
| Overlap with new matches | 49,538 |
| Agreement rate | 70.54% |

### Disagreement Analysis

| Metric | Value |
|--------|-------|
| Total disagreements | 14,594 |
| Disagreement rate | 29.46% |
| Match-type disagreements | 13,318 |
| User-type disagreements | 1,276 |

### Top Disagreement Patterns

| Existing ROR | Matched ROR | Count |
|--------------|-------------|-------|
| DataCite (https://ror.org/04wxnsj81) | Islamic Azad University, Tehran (https://ror.org/01kzn7k21) | 5,766 |
| DataCite (https://ror.org/04wxnsj81) | Islamic Azad University, Isfahan (https://ror.org/039zhhm92) | 399 |
| DataCite (https://ror.org/04wxnsj81) | University of Tehran (https://ror.org/05vf56z40) | 245 |
| DataCite (https://ror.org/04wxnsj81) | Payame Noor University (https://ror.org/031699d98) | 154 |
| DataCite (https://ror.org/04wxnsj81) | Islamic Azad University, Karaj (https://ror.org/01y4xm534) | 131 |
| DataCite (https://ror.org/04wxnsj81) | Islamic Azad University, Yazd (https://ror.org/04mwvcn50) | 121 |
| DataCite (https://ror.org/04wxnsj81) | Islamic Azad University, Mashhad (https://ror.org/00bvysh61) | 113 |
| DataCite (https://ror.org/04wxnsj81) | University of Mohaghegh Ardabili (https://ror.org/045zrcm98) | 108 |
| DataCite (https://ror.org/04wxnsj81) | Urmia University (https://ror.org/032fk0x53) | 93 |
| DataCite (https://ror.org/04wxnsj81) | Tarbiat Modares University (https://ror.org/03mwgfy56) | 89 |

## Usage

```python
from datasets import load_dataset

# Load successful ROR matches
matches = load_dataset("cometadata/datacite-affiliations-matched-ror", "ror_matches")

# Load author-affiliation pairs (large dataset, use streaming)
affiliations = load_dataset(
"cometadata/datacite-affiliations-matched-ror",
"doi_author_affiliations",
streaming=True
)

# Iterate over records
for record in affiliations["train"]:
print(record["doi"], record["affiliation"])
break
```

## License

This dataset is released under the [CC0 1.0 Universal (Public Domain Dedication)](https://creativecommons.org/publicdomain/zero/1.0/) license.

## Citation

If you use this dataset, please cite:

```bibtex
@dataset{datacite_affiliations_ror,
title = {DataCite Affiliations Matched to ROR},
author = {cometadata},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/cometadata/datacite-affiliations-matched-ror}
}
```

## Acknowledgments

- [DataCite](https://datacite.org/) for providing the source metadata
- [ROR](https://ror.org/) for the Research Organization Registry