Evidence map›Paper›PMID 36620398›Full record

ArticleEcology and evolution2023

The Environmental Data Initiative: Connecting the past to the future through data reuse.

Corinna Gries, Paul C Hanson, Margaret O'Brien, Mark Servilla, Kristin Vanderbilt, Robert Waide

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Corinna GriesCenter for Limnology University of Wisconsin, Madison Madison Wisconsin USA.ORCID https://orcid.org/0000-0002-9091-6543
Paul C HansonCenter for Limnology University of Wisconsin, Madison Madison Wisconsin USA.ORCID https://orcid.org/0000-0001-8533-6061
Margaret O'BrienMarine Science Institute University of California, Santa Barbara Santa Barbara California USA.ORCID https://orcid.org/0000-0002-1693-8322
Mark ServillaDepartment of Biology University of New Mexico Albuquerque New Mexico USA.ORCID https://orcid.org/0000-0002-3192-7306
Kristin VanderbiltDepartment of Biology University of New Mexico Albuquerque New Mexico USA.ORCID https://orcid.org/0000-0003-1439-2204
Robert WaideDepartment of Biology University of New Mexico Albuquerque New Mexico USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Environmental Data Initiative (EDI) is a trustworthy, stable data repository, and data management support organization for the environmental scientist. In a bottom-up community process, EDI was built with the premise that freely and easily available data are necessary to advance the understanding of complex environmental processes and change, to improve transparency of research results, and to democratize ecological research. EDI provides tools and support that allow the environmental researcher to easily integrate data publishing into the research workflow. Almost ten years since going into production, we analyze metadata to provide a general description of EDI's collection of data and its data management philosophy and placement in the repository landscape. We discuss how comprehensive metadata and the repository infrastructure lead to highly findable, accessible, interoperable, and reusable (FAIR) data by evaluating compliance with specific community proposed FAIR criteria. Finally, we review measures and patterns of data (re)use, assuring that EDI is fulfilling its stated premise.

Indexed as

data reuseenvironmental data repositoryFAIR datametadataopen science

Identifiers

PMID36620398
PMCPMC9817195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.