Extract Datasets Used in a Research Paper
Find reported dataset names, access statements, repositories and licences with exact evidence. A data mention does not establish reuse permission.
Paper
Process up to 150,000 characters. Longer papers are explicitly marked as partial coverage; inspect extracted text before processing.
Drag a file here, or
Text-layer PDF, TXT, Markdown or JATS XML; up to 25 MB. OCR is not supported. PDF page numbers differ from printed page labels.
2 papers shared across extraction presets and the summarizer. Reprocessing the same paper is free.
Paper text is sent to our backend and OpenAI. This application does not store paper text or results; provider retention terms apply. Only allowance identifiers persist. Copy or download before closing this tab.
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How to use Extract Datasets Used in a Research Paper
- Paste or upload an authorized readable paper and inspect its identity and coverage.
- Review parsed text and coverage. Select extraction fields; inferred limitations are optional and off by default.
- Process the paper, then compare generated information with every exact quotation and source location.
- Copy or download the reviewed result before leaving the page.
Distinguish a dataset used from a dataset merely mentioned
The datasets preset looks for dataset names together with statements about use, access, repositories and licences. A bibliography entry or a background comparison can name a dataset without showing that the current study used it. Read the supporting quotation to identify the relationship: training, validation, external testing, secondary analysis, linkage or a newly collected resource. Those roles should remain explicit when you compile a data inventory. The extractor cannot establish a role from a familiar dataset name alone.
Dataset identity may depend on a version, release date, accession, subset, geographic scope or collection period. Two papers can name the same resource while analyzing different people, records or labels. A benchmark may also contain several component datasets with their own access conditions. Preserve identifiers and version descriptions that the paper reports, and mark details that are not located. Do not replace an unfamiliar dataset name with a better-known resource or assume that a current repository release matches the release used in the study.
Data and software are related but distinct. A code repository can explain how data were processed without hosting the underlying observations. A supplementary table may contain summary results rather than reusable participant-level data. Synthetic data, demonstration files and trained model weights also have different meanings. Use the generated description as a starting point, then verify which artifact the evidence actually describes. A citation or repository URL helps navigation; it does not prove that the resource is complete, accessible or suitable for your planned analysis.
Treat access statements and licences as separate evidence
An access statement describes how the authors say data can be obtained. Open download, controlled access, a request to the corresponding author and access through a secure environment are different arrangements. None should be silently converted into unrestricted availability. A repository landing page might be public while its files require approval. The tool records what the paper reports and does not log in, complete a data-use agreement or verify whether an access request would be granted to you.
A licence governs permitted reuse of an identified artifact; it is not automatically inherited from the article. An open-access article can describe a restricted dataset, and a repository can contain files under several licences. Retain the exact declaration when it is present and distinguish it from an unspecified licence. Do not infer a permissive licence from a downloadable link or a publisher open-access badge. Check the current repository terms, attribution requirements and any restrictions applicable to the specific release before using data in a new project.
Privacy and consent obligations can apply even when a dataset is described as de-identified. This page does not assess re-identification risk, validate consent, authorize linkage or approve redistribution. Avoid uploading participant-level records or confidential research data; the intended input is a paper you are authorized to process. For sensitive or controlled resources, use the institutionally approved access process. A generated inventory can help identify questions for a data steward, but it does not replace that approval or establish compliance with a data-use agreement.
Make a reusable inventory without losing source context
For each candidate dataset, record the reported name, role in the study, identifiers, release information, access route and declared licence. If several resources appear in one extraction row, separate them carefully in your own inventory while preserving which quotation supports each one. Revisit the data-availability statement, methods and supplements for conflicts. A general sharing statement may describe newly collected data while a methods paragraph describes a different external resource. Do not merge their permissions or assume that both have the same availability.
The output gives exact quotations and locations, with missing or ambiguous states when evidence is not located or cannot be verified. JATS XML uses section and paragraph references because page numbers are unavailable. PDF locations refer to PDF pages and may differ from printed journal labels. Text extraction cannot guarantee faithful table reconstruction; inspect accession lists and repository links against the original. Partial parsing and documents longer than 150,000 characters have explicit coverage warnings, so an unseen data-availability section is not mistaken for a negative sharing declaration.
Upload or paste an authorized paper with its data availability statement. Include relevant supplements instead of relying on an abstract for dataset extraction. Scanned PDFs need OCR elsewhere; TXT, Markdown, JATS and text-layer PDFs are supported. Download the CSV after verifying the inventory and retain a source link with your corrections. The two-paper allowance is shared across extraction presets and the summarizer, with free reruns of previously successful papers. Signup opens AnswerThis without saving or transferring this table; copy the reviewed result before leaving.
Supplied documents and processing
Upload or paste a paper you are authorized to process, then inspect its parsed text and coverage. Only supplied text is processed; this tool does not retrieve articles. Publication version and licence are not independently verified. Reports include the processing time, source description and coverage.
Paper text is sent to our backend and OpenAI. This application does not store paper text or results; only allowance identifiers persist. Provider retention terms apply. See OpenAI data controls and retention. Copy or download your reviewed result before closing the tab.
Frequently asked questions
Does a mentioned dataset count as used?
No. A dataset cited in background or discussed as future work is distinct from data actually analysed. Confirm its role in the methods and retain a quotation establishing use before adding it to an inventory.
What if a release or accession is absent?
Do not guess it. Keep reported names, versions, releases and accession identifiers separate, and mark missing or ambiguous information for review. Similar dataset names can identify different resources or releases.
Does an access link grant permission to reuse data?
No. Access, availability and reuse permission are separate. Preserve any reported licence statement and check the repository terms for the specific release. Missing licence details do not establish unrestricted reuse.
Which files and page references are supported?
Upload text-layer PDF, TXT, Markdown or JATS XML up to 25 MB. OCR is not supported. Encrypted, corrupt and scanned files need a readable replacement. PDF page numbers are separate from printed labels; JATS uses section/paragraph references with pages unavailable. Coverage is explicit, including the 150,000-character limit.
Which paper text should I supply?
Upload or paste an authorized readable paper including the sections you want processed. Check the title, body and supplements before generating. An abstract alone is not the full paper. Only supplied text is processed; the tool does not retrieve papers or bypass access restrictions.
How does the 2 papers allowance work?
This tool includes 2 papers per browser, shared across extraction presets and the summarizer. A distinct document hash counts once after successful processing. Re-running the same paper is free. Confirmed processing failures are refunded; a lost response or browser storage failure leaves allowance status uncertain. Copying or downloading an existing result is free.
Does signup save the paper or unlock more runs here?
Signup opens the AnswerThis app. It does not unlock more runs on this page or transfer your draft. Copy or download your result first. This application does not store paper text or results; only allowance identifiers persist. Paper text goes to our backend and OpenAI; provider retention terms apply.