Evidence map›Paper›PMID 31763358›Full record

ReviewJournal of the Association for Information Science and Technology2019

Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines.

Kathleen Gregory, Paul Groth, Helena Cousijn, Andrea Scharnhorst, Sally Wyatt

Abstract readReview
In one paragraph

Review in Journal of the Association for Information Science and Technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. How do properties of data, their curation, and their funding relate to reuse?Journal of the Association for Information Science and Technology · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Kathleen GregoryData Archiving and Networked Services, Royal Netherlands Academy of Arts and Sciences Anna van Saksenlaan 51, 2593 HW, The Hague The Netherlands.ORCID https://orcid.org/0000-0001-5475-8632
Paul GrothElsevier Labs Radarweg 29, 1043 NX Amsterdam The Netherlands.
Helena CousijnElsevier Radarweg 29, 1043 NX Amsterdam The Netherlands.ORCID https://orcid.org/0000-0001-6660-6214
Andrea ScharnhorstData Archiving and Networked Services, Royal Netherlands Academy of Arts and Sciences Anna van Saksenlaan 51, 2593 HW, The Hague The Netherlands.ORCID https://orcid.org/0000-0001-8879-8798
Sally WyattFaculty of Arts and Social Sciences Maastricht University Grote Gracht 82, SZ Maastricht, 6211 The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.

Identifiers

PMID31763358
PMCPMC6853156

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.