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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
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Identification Number: |
doi:10.18710/WBKY7Q |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2020-09-29 |
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Version: |
1 |
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Bibliographic Citation: |
Ancin-Murguzur, Francisco Javier; Hausner, Vera Helene, 2020, "Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach", https://doi.org/10.18710/WBKY7Q, DataverseNO, V1 |
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Citation |
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Title: |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
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Identification Number: |
doi:10.18710/WBKY7Q |
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Authoring Entity: |
Ancin-Murguzur, Francisco Javier (UiT The Arctic University of Norway) |
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Hausner, Vera Helene (UiT The Arctic University of Norway) |
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Producer: |
UiT The Arctic University of Norway |
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Date of Production: |
2019-11-26 |
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Software used in Production: |
R |
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Grant Number: |
369903 |
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Grant Number: |
296897 |
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Distributor: |
DataverseNO |
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Distributor: |
UiT The Arctic University of Norway |
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Access Authority: |
Ancin-Murguzur, Francisco Javier |
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Depositor: |
Ancin Murguzur, Francisco Javier |
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Date of Deposit: |
2020-08-26 |
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Holdings Information: |
https://doi.org/10.18710/WBKY7Q |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Topic modeling, Research gaps, Climate change, Socio economic system, Latent Dirichlet Allocation |
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Abstract: |
Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topic- modelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications |
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Date of Collection: |
2019-11-26-2019-11-26 |
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Geographic Unit(s): |
Pan-Arctic, Tundra |
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Kind of Data: |
Bibliographic data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Ancin-Murguzur FJ, Hausner VH (2020) Research gaps and trends in the Arctic tundra: a topic-modelling approach. One Ecosystem 5: e57117. |
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Identification Number: |
10.3897/oneeco.5.e57117 |
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Bibliographic Citation: |
Ancin-Murguzur FJ, Hausner VH (2020) Research gaps and trends in the Arctic tundra: a topic-modelling approach. One Ecosystem 5: e57117. |
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Label: |
00_README.txt |
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Text: |
README file |
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Notes: |
text/plain |
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Label: |
Bibliographic_dataset.txt |
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Text: |
Dataset containing the titles and abstracts retrieved from the Scopus search |
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Notes: |
text/plain |
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Label: |
Processed_topic_database.txt |
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Text: |
Processed topic modeling database |
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Notes: |
text/plain |
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Label: |
Topic_script.R |
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Text: |
Script to perform topic modeling in R |
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Notes: |
type/x-r-syntax |