Challenging Rediscovery On Scientific Systematic Reviews with OpenAlex Data
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Updated
May 20, 2022
Challenging Rediscovery On Scientific Systematic Reviews with OpenAlex Data
Python API Wrapper for OpenAlex. Query OpenAlex for metadata in Python.
Jupyter notebooks with utility scripts for working with the OpenAlex API
Jupyter notebooks with examples of querying different PID graphs and providers like OpenAlex, FREYA PID Graph, OpenAIRE, ORCID, ROR, Crossref. Developed at TIB as part of the BMBF funded project TAPIR.
Proof-of-concept demonstrator for the Journal Observatory project
Semantic search engine indexing 95 million academic publications
sync the OpenAlex snapshot to a TerminusDB database
This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
Creates the openalex.org schema in MySQL / MariaDB; loads flattened .tsv files into database
Official code repositiory for the paper "Collaboration and Topic Switches in Science"
Search service for Beyond Scholar of BUAA 2023 System Analysis and Design course
Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.
Map OMIDs of bibliographic resources already existing in OpenCitations Meta to their corresponding OpenAlex IDs.
A `dbt` project to analyze data snapshots from OpenAlex
A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
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