scholarly journals Reproducible research and GIScience: an evaluation using AGILE conference papers

Author(s):  
Daniel Nüst ◽  
Carlos Granell ◽  
Barbara Hofer ◽  
Markus Konkol ◽  
Frank O Ostermann ◽  
...  

The demand for reproducibility of research is on the rise in disciplines concerned with data analysis and computational methods. In this work existing recommendations for reproducible research are reviewed and translated into criteria for assessing reproducibility of articles in the field of geographic information science (GIScience). Using a sample of GIScience research from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, we assess the current state of reproducibility of publications in this field. Feedback on the assessment was collected by surveying the authors of the sample papers. The results show the reproducibility levels are low. Although authors support the ideals, the incentives are too small. Therefore we propose concrete actions for individual researchers and the AGILE conference series to improve transparency and reproducibility, such as imparting data and software skills, an award, paper badges, author guidelines for computational research, and Open Access publications.

Author(s):  
Daniel Nüst ◽  
Carlos Granell ◽  
Barbara Hofer ◽  
Markus Konkol ◽  
Frank O Ostermann ◽  
...  

The demand for reproducibility of research is on the rise in disciplines concerned with data analysis and computational methods. In this work existing recommendations for reproducible research are reviewed and translated into criteria for assessing reproducibility of articles in the field of geographic information science (GIScience). Using a sample of GIScience research from the Association of Geographic Information Laboratories in Europe (AGILE) conference series, we assess the current state of reproducibility of publications in this field. Feedback on the assessment was collected by surveying the authors of the sample papers. The results show the reproducibility levels are low. Although authors support the ideals, the incentives are too small. Therefore we propose concrete actions for individual researchers and the AGILE conference series to improve transparency and reproducibility, such as imparting data and software skills, an award, paper badges, author guidelines for computational research, and Open Access publications.


PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5072 ◽  
Author(s):  
Daniel Nüst ◽  
Carlos Granell ◽  
Barbara Hofer ◽  
Markus Konkol ◽  
Frank O. Ostermann ◽  
...  

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.


2020 ◽  
Author(s):  
Daniel Nüst ◽  
Frank Ostermann ◽  
Carlos Granell ◽  
Alexander Kmoch

In an attempt to increase the reproducibility of contributions to a long-running and established geospatial conference series, the 23rd AGILE Conference on Geographic Information Science 2020 (https://agile-online.org/conference-2020) for the first time provided guidelines on preparing reproducible papers (Nüst et al., 2020) and appointed a reproducibility committee to evaluate computational workflows of accepted papers ( https://www.agile-giscience-series.net/review_process.html). Here, the committee’s members report on the lessons learned from reviewing 23 accepted full papers and outline future plans for the conference series. In summary, six submissions were partially reproduced by reproducibility reviewers, whose reports are published openly on OSF ( https://osf.io/6k5fh/). These papers are promoted with badges on the proceedings’ website (https://agile-giss.copernicus.org/articles/1/index.html). Compared to previous years’ submissions (cf. Nüst et al. 2018), the guidelines and increased community awareness markedly improved reproducibility. However, the reproduction attempts also revealed problems, most importantly insufficient documentation. This was partly mitigated by the non-blind reproducibility review, conducted after paper acceptance, where interaction between reviewers and authors can provide the input and attention needed to increase reproducibility. However, the reviews also showed that anonymisation and public repositories, when properly documented, can enable a successful reproduction without interaction, as was the case with one manuscript. Individual and organisational challenges due to the COVID-19 pandemic and the conference’s eventual cancellation increased the teething problems. Nevertheless, also under normal circumstances, future iterations will have to reduce the reviewer’s efforts to be sustainable, ideally by more readily executable workflows and a larger reproducibility committee. Furthermore, we discuss changes to the reproducibility review process and their challenges. Reproducibility reports could be made available to “regular” reviewers, or the reports could be considered equally for acceptance/rejection decisions. Insufficient information or invalid arguments for not disclosing material could then lead to a submission being rejected or not being sent out to peer review. Further organisational improvements are a publication of reviewers’ activities in public databases, making the guidelines mandatory, and collecting data on used tools/repositories, spent efforts, and communications. Finally, we summarise the revision of the guidelines, including their new section for reproducibility reviewers, and the status of the initiative “Reproducible Publications at AGILE Conferences” (https://reproducible-agile.github.io/initiative/), which we connect to related undertakings such as CODECHECK (Eglen et al., 2019). The AGILE Conference’s experiences may help other communities to transition towards more open and reproducible research publications.


2018 ◽  
Vol 7 (9) ◽  
pp. 364 ◽  
Author(s):  
Helena Merschdorf ◽  
Thomas Blaschke

Although place-based investigations into human phenomena have been widely conducted in the social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). Such a place-based GIS comprises research from computational place modeling on one end of the spectrum, to purely theoretical discussions on the other end. Central to all research that is concerned with place-based GIS is the notion of placing the individual at the center of the investigation, in order to assess human-environment relationships. This requires the formalization of place, which poses a number of challenges. The first challenge is unambiguously defining place, to subsequently be able to translate it into binary code, which computers and geographic information systems can handle. This formalization poses the next challenge, due to the inherent vagueness and subjectivity of human data. The last challenge is ensuring the transferability of results, requiring large samples of subjective data. In this paper, we re-examine the meaning of place in GIScience from a 2018 perspective, determine what is special about place, and how place is handled both in GIScience and in neighboring disciplines. We, therefore, adopt the view that space is a purely geographic notion, reflecting the dimensions of height, depth, and width in which all things occur and move, while place reflects the subjective human perception of segments of space based on context and experience. Our main research questions are whether place is or should be a significant (sub)topic in GIScience, whether it can be adequately addressed and handled with established GIScience methods, and, if not, which other disciplines must be considered to sufficiently account for place-based analyses. Our aim is to conflate findings from a vast and dynamic field in an attempt to position place-based GIS within the broader framework of GIScience.


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