Introduction
Michigan Experts displays data from Elements, a faculty information system provided by Michigan Medicine. Elements gets its data from many sources, most of which come from automated data feeds for publications, patents, grants, and appointments. This means that data submitted or published in non-UM sources such as PubMed or FigShare, automatically get pulled into Michigan Experts (Elements) on a routine basis, eliminating manual entry.
Learn more about each of the different data types below.
Instructions
Publications:
A number of systems feed publication data into Elements automatically. They are:
- SCOPUS- A curated database of publications across many disciplines
- Web of Science- A curated database of publications across many disciplines
- PubMed- Publications of life sciences and medical data
- DBLP- Computer Science Publications
- CiNii- Publications from Japan
- CrossRef- An UK-based system for collating scholarly publications
- RePEc- Economics Publications
- MLA- Humanities Publications
- European PubMed- European repository of medical and life science publications
- Dimensions- A curated database of publications across many disciplines
- ORCID- a persistent digital research identifier managed by the individual author
These are data sources that require researchers to enter the reference information and then it is fed into Elements.
- FigShare- A means for researchers to share their data
- arXiv- Archive of preprints and postprints
- Google Books- Repository of books
- WorldCat- A worldwide library catalog
Grants:
Grant data is pulled in from:
- eResearch Proposal Management- Grants Data
- Business Data Warehouse- Curated Medical School Grants Data
Grant records may be supplemented by data from the sponsoring agency via Dimensions (an abstract, for example)
Appointments:
Data about faculty appointments is pulled in from the Medical School Data Warehouse (MSDW/BDW), which itself gets much of its data from MPathways (HR).
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Note: As of July 2022, the Faculty CV portion of Elements was pre-populated with data from the prior system, M-CV.