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The U.S. Geological Survey's Science Data Management Branch (SDM) — part of Science Analytics and Synthesis in the Core Science Systems Mission Area — provides data-management expertise, guidance and tools so the USGS can deliver reliable scientific information about the Earth. It supports every stage of the USGS Data Lifecycle, makes data easier to reuse and combine, and helps scientists meet the USGS Fundamental Science Practices and Public Access Plan.
Figure 1. The USGS Data Lifecycle, which ties data-management work to project workflows.
Why enterprise tools
The USGS has long been committed to data-management best practice as the key to quality data that the public can use. Federal policies on open, accessible, discoverable scientific data, and the global push for FAIR data — findable, accessible, interoperable and reusable — call for survey-wide tools.
SDM's tools support quality assurance, description, curation and publication, each tied to a stage of the lifecycle and flexible enough for different workflows. They are linked through application programming interfaces (APIs) for smoother workflows, and can help track how data are used and cited.
The tools
| Tool | What it does |
|---|---|
| USGS Data Management Website | introduces data-management concepts, with best practice and tools for each lifecycle stage and help meeting the Fundamental Science Practices; won the USGS Shoemaker Award for Communications Excellence, the survey's top communications award, in 2013 |
| USGS Science Data Catalog | a metadata catalog for finding USGS research and monitoring data, by text search, browsing or map. It harvests metadata from ScienceBase and other USGS sources and republishes it to the Department of the Interior catalog and data.gov, and reports to the Office of Management and Budget. As of April 2020 it held more than 21,000 metadata records |
| Digital Object Identifier Tool | lets USGS staff create persistent, globally unique DOIs for online products, through its interface or its API. A DOI gives a permanent address while the files behind it can move. DOIs can be reserved before release; once a product is approved, the DOI goes public and is registered with DataCite, a global non-profit registry |
| ScienceBase | a USGS Trusted Digital Repository and a main place for USGS scientists to store and publish data — a shared platform to document, organise, preserve and publish data, served through a browser, web services and an API, and connected to other USGS systems such as the Science Data Catalog. Since 2015 SDM has refined the procedures for releasing data through it |
| ScienceBase Data Release Tool | streamlines formal data release: builds a landing page for each release, reserves its DOI automatically, pulls existing details from the USGS Information Product Tracking System, notifies data managers, can be configured per science centre, sends metadata to the catalog on approval, and reports release counts by centre or author |
| Metadata Wizard 2.0 | eases metadata writing by extracting details straight from geospatial datasets — coordinate system, extent, feature counts, attributes — and asking plain questions for the rest, producing records to the Federal Geographic Data Committee's CSDGM standard. It works with ArcGIS or on its own on Mac and Windows; links to the USGS Metadata Parser, the USGS Thesaurus of keywords, the Integrated Taxonomic Information System, DataCite and Crossref, and the USGS staff directory; can edit ScienceBase metadata directly; and comes with Anaconda, for batch processing in Python and Jupyter Notebooks. Built with the USGS Fort Collins Science Center |
| Online Metadata Editor | a web application that builds a CSDGM-compliant XML record from plain questions; users can create, upload, edit, list and save partial records. It connects to the Taxonomic Information System, the Metadata Parser, the DOI Tool and the staff directory, and its records can fill a ScienceBase data-release page or go to the catalog |
Sources
- Hutchison, V.B., Liford, A., McClees-Funinan, R., Zolly, L., Ignizio, D., Langseth, M., Serna, B., Sellers, E., Hsu, L., Norkin, T., McNiff, M., and Donovan, G., 2020, USGS enterprise tools for efficient and effective management of science data: U.S. Geological Survey Fact Sheet 2020–3041. https://pubs.usgs.gov/publication/fs20203041
- The figure comes from the fact sheet's PDF; its screenshots of the tools' web pages are not reproduced.
- Rewritten in hubnx's own words.
Licença: CC0 1.0 (domínio público) · Adaptado de pubs.usgs.gov
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