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---
language:
- en
bigbio_language:
- English
license: cc0-1.0
bigbio_license_shortname: CC0_1p0
multilinguality: monolingual
pretty_name: CZI DRSM
homepage: https://github.com/chanzuckerberg/DRSM-corpus
bigbio_pubmed: false
bigbio_public: true
bigbio_tasks:
- TXTCLASS
---
# Dataset Card for CZI DRSM
## Dataset Description
- **Homepage:** https://github.com/chanzuckerberg/DRSM-corpus
- **Pubmed:** False
- **Public:** True
- **Tasks:** TXTCLASS
Research Article document classification dataset based on aspects of disease research. Currently, the dataset consists of three subsets:
(A) classifies title/abstracts of papers into most popular subtypes of clinical, basic, and translational papers (~20k papers);
- Clinical Characteristics, Disease Pathology, and Diagnosis:
Text that describes (i) symptoms, signs, or ‘phenotype’ of a disease;
(ii) the effects of the disease on patient organs, tissues, or cells;
(iii)) the results of clinical tests that reveal pathology (including
biomarkers); (iv) research that use this information to figure out
a diagnosis.
- Therapeutics in the clinic:
Text describing how treatments work in the clinic (but not in a clinical trial).
- Disease mechanism:
- Patient-Based Therapeutics:
Text describing (i) Clinical trials (studies of therapeutic measures being
used on patients in a clinical trial); (ii) Post Marketing Drug Surveillance
(effects of a drug after approval in the general population or as part of
‘standard healthcare’); (iii) Drug repurposing (how a drug that has been
approved for one use is being applied to a new disease).
(B) identifies whether a title/abstract of a paper describes substantive research into Quality of Life (~10k papers);
- [-1] - the paper is not a primary experimental study in rare disease
- [0] - the study does not directly investigate quality of life
- [1] - the study investigates qol but not as its primary contribution
- [2] - the study's primary contribution centers on quality of life measures
(C) identifies if a paper is a natural history study (~10k papers).
- [-1] - the paper is not a primary experimental study in rare disease
- [0] - the study is not directly investigating the natural history of a disease
- [1] - the study includes some elements a natural history but not as its primary contribution
- [2] - the study's primary contribution centers on observing the time course of a rare disease
These classifications are particularly relevant in rare disease research, a field that is generally understudied.
This data was compiled through the use of a gamified curation approach based on CentaurLabs' 'diagnos.us' platform.
## Citation Information
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