Evidence map›Paper›PMID 30013826›Full record

ArticlePeerJ2018

Reproducible research and GIScience: an evaluation using AGILE conference papers.

Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol, Frank O Ostermann, Rusne Sileryte, Valentina Cerutti

Abstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

7 authors.

Daniel NüstInstitute for Geoinformatics, University of Münster, Münster, Germany.
Carlos GranellInstitute of New Imaging Technologies, Universitat Jaume I de Castellón, Castellón, Spain.
Barbara HoferInterfaculty Department of Geoinformatics - Z_GIS, University of Salzburg, Salzburg, Austria.
Markus KonkolInstitute for Geoinformatics, University of Münster, Münster, Germany.
Frank O OstermannFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
Rusne SileryteFaculty of Architecture and the Built Environment, Delft University of Technology, Delft, The Netherlands.
Valentina CeruttiFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for reproducible research is on the rise in disciplines concerned with data analysis and computational methods. Therefore, we reviewed current recommendations for reproducible research and translated them into criteria for assessing the reproducibility of articles in the field of geographic information science (GIScience). Using this criteria, we assessed a sample of GIScience studies from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, and we collected feedback about the assessment from the study authors. Results from the author feedback indicate that although authors support the concept of performing reproducible research, the incentives for doing this in practice are too small. Therefore, we propose concrete actions for individual researchers and the GIScience conference series to improve transparency and reproducibility. For example, to support researchers in producing reproducible work, the GIScience conference series could offer awards and paper badges, provide author guidelines for computational research, and publish articles in Open Access formats.

Indexed as

AGILEData scienceGIScienceOpen accessOpen scienceReproducible conference publicationsReproducible research

Identifiers

PMID30013826
PMCPMC6047504

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.