orcid-integration-guide
Set up and leverage ORCID for researcher identification and profiles
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
ORCID Integration Guide
A skill for creating, maintaining, and leveraging ORCID (Open Researcher and Contributor ID) to establish a persistent digital identity, automate publication tracking, and integrate with journals, funders, and institutional systems.
What Is ORCID?
Overview
ORCID provides a unique 16-digit identifier (e.g., 0000-0002-1825-0097) that distinguishes you from every other researcher, regardless of name similarity, institutional changes, or transliteration variations. Over 19 million researchers have ORCID iDs, and thousands of publishers and funders now require or support ORCID integration.
Why ORCID Matters
Problem: Name ambiguity in scholarly publishing
- "J. Wang" could be thousands of researchers
- Name changes (marriage, legal reasons)
- Transliteration differences (Chinese, Korean, Arabic names)
- Multiple institutional affiliations over a career
Solution: ORCID provides a persistent, unique identifier
- Follows you across institutions and career stages
- Links to your publications, grants, affiliations
- Accepted by 1,500+ publishers and funders
- Free and researcher-controlled
Setting Up Your ORCID Profile
Registration and Configuration
Step 1: Register at orcid.org
- Use your institutional email (can add personal email too)
- Choose a password
- Set visibility defaults (public recommended for researchers)
Step 2: Complete your profile
- Name and alternate names (include transliterations)
- Biography (2-3 sentences about your research)
- Education history (degrees, institutions, years)
- Employment history (positions, institutions, years)
- Keywords (5-10 terms describing your research areas)
Step 3: Link your works
- Use "Search & Link" to pull in publications automatically
- Supported sources: Crossref, Scopus, Web of Science, Europe PMC
- Review each imported work before adding
Step 4: Connect to other systems
- Link Scopus Author ID
- Link ResearcherID / Web of Science
- Connect institutional repository
Privacy Settings
def configure_orcid_visibility(profile_sections: dict) -> dict:
"""
Recommended ORCID visibility settings for academic researchers.
Args:
profile_sections: Dict of section names and current visibility
"""
recommendations = {
"name": "public",
"biography": "public",
"education": "public",
"employment": "public",
"works": "public",
"email": "trusted_parties",
"funding": "public",
"peer_reviews": "trusted_parties",
"keywords": "public"
}
settings = {}
for section, current in profile_sections.items():
recommended = recommendations.get(section, "public")
settings[section] = {
"current": current,
"recommended": recommended,
"reason": (
"Public visibility maximizes discoverability"
if recommended == "public"
else "Shared only with authorized organizations"
)
}
return settings
Integrating ORCID with Publishing Workflows
Journal Submission
Most major publishers now request your ORCID during manuscript submission:
Elsevier: Required for corresponding author
Springer Nature: Required for corresponding author
Wiley: Requested for all authors
PLOS: Required for corresponding author
IEEE: Requested for all authors
Taylor & Francis: Requested for all authors
When you provide your ORCID during submission, the publication is automatically added to your ORCID record upon acceptance (via Crossref auto-update).
Funder Integration
NIH: ORCID linked via eRA Commons / SciENcv
NSF: ORCID accepted in proposal submissions
ERC: ORCID required for applicants
UKRI: ORCID required for grant holders
ARC (Australia): ORCID required for applicants
Using the ORCID API
Retrieving Public Records
import urllib.request
import json
def get_orcid_works(orcid_id: str) -> list:
"""
Retrieve the public works list from an ORCID profile.
Args:
orcid_id: The ORCID iD (e.g., '0000-0002-1825-0097')
"""
url = f"https://pub.orcid.org/v3.0/{orcid_id}/works"
req = urllib.request.Request(url, headers={
"Accept": "application/json"
})
response = urllib.request.urlopen(req)
data = json.loads(response.read())
works = []
for group in data.get("group", []):
summary = group["work-summary"][0]
works.append({
"title": summary["title"]["title"]["value"],
"type": summary.get("type"),
"year": summary.get("publication-date", {}).get("year", {}).get("value"),
"journal": summary.get("journal-title", {}).get("value") if summary.get("journal-title") else None,
"put_code": summary.get("put-code")
})
return works
Maintaining Your ORCID Record
Best Practices
- Review your record quarterly for completeness
- Enable auto-updates from Crossref (Settings > Account Settings > Crossref)
- Add preprints and datasets, not just journal articles
- Include peer review activity (via Publons/Web of Science integration)
- Use your ORCID iD in email signatures, CVs, and personal websites
- Format as a full URL: https://orcid.org/0000-0002-1825-0097
See Also
- [orcid-api](../orcid-api/SKILL.md) -- Detailed ORCID Public API reference with endpoints, authentication, rate limits, and query examples.
想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
它属于哪个仓库
skills/43-wentorai-research-plugins/skills/literature/metadata/orcid-integration-guide/SKILL.md同一个仓库里的其他技能
- Full-empirical-analysis-skill
- Full-empirical-analysis-skill-R
- Full-empirical-analysis-skill-Stata
- auto-empirical-research-skills
- StatsPAI_skill
- Full-empirical-analysis-skill
- Full-empirical-analysis-skill-Stata
- Full-empirical-analysis-skill-R
- academic-paper-composer
- academic-paper-strategist
- medical-imaging-review
- paper-slide-deck