arxiv-publication-metadata
A Snakemake workflow to produce accessible datasets for ArXiv publication metadata
Science Score: 64.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.3%) to scientific vocabulary
Repository
A Snakemake workflow to produce accessible datasets for ArXiv publication metadata
Basic Info
- Host: GitHub
- Owner: sdruskat
- Language: Python
- Default Branch: main
- Size: 52.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Snakemake workflow: Extract LUTs from ArXiv OAI-PMH XML
Snakemake workflow to extract metadata from ArXiv OAI-PMH XML
harvested with metha,
and write it to JSON lookup tables for better accessibility.
Documentation
The technical documentation and description of outputs is in workflow/documentation.md.
Running the workflow
You need to have conda installed to create and activate a new environment.
bash
conda env create -n arxiv-metadata --file conda-environment.yaml
conda activate arxiv-metadata
You also need to get an access token from Zenodo and set it to the following two environment variables:
shell
export SNAKEMAKE_STORAGE_ZENODO_ACCESS_TOKEN=<Your Zenodo access token>
export SNAKEMAKE_STORAGE_ZENODO_RESTRICTED_ACCESS_TOKEN=<Your Zenodo access token>
Run with -–keep-storage-local-copies to avoid downloading resources over and over again.
Also run with --software-deployment-method conda to use global conda packages.
shell
snakemake --keep-storage-local-copies --software-deployment-method conda -c <number-of-cores-to-use>
You can use run.sh to run the workflow this way, and with 12 cores.
Citation
If you use this workflow in your work, please cite it using the metadata provided in CITATION.cff.
License
This work is licensed as specific in the REUSE 3.0 Specification. Please consult the single file licenses.
Owner
- Name: Stephan Druskat
- Login: sdruskat
- Kind: user
- Location: Berlin
- Company: German Aerospace Center (DLR)
- Website: http://sdruskat.net
- Twitter: stdruskat
- Repositories: 12
- Profile: https://github.com/sdruskat
Software Engineering PhD candidate @DLR-SC, Research Software Engineer (https://hexatomic.github.io)
Citation (CITATION.cff)
# SPDX-FileCopyrightText: 2024 German Aerospace Center (DLR)
# SPDX-FileContributor: Stephan Druskat <stephan.druskat@dlr.de>
#
# SPDX-License-Identifier: CC0-1.0
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: ArXiv metadata extraction workflow
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Stephan
family-names: Druskat
email: stephan.druskat@dlr.de
affiliation: German Aerospace Center (DLR)
orcid: 'https://orcid.org/0000-0003-4925-7248'
abstract: >-
A Snakemake workflow for extracting metadata for ArXiv
publication versions from OAI-PMH2 metadata.
license: MIT
version: 0.1.0
date-released: '2024-04-29'
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| Name | Commits | |
|---|---|---|
| Stephan Druskat | s****t@d****e | 48 |
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