From 18a8328eaeb15e7a3d8310351732a2913e32ceb3 Mon Sep 17 00:00:00 2001 From: Petros Stavropoulos Date: Mon, 18 Nov 2024 20:31:36 +0200 Subject: [PATCH 1/2] Update reuse_of_data_in_research.qmd --- .../quarto/5_reproducibility/reuse_of_data_in_research.qmd | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd b/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd index 3438b61..ae132c4 100644 --- a/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd +++ b/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd @@ -30,6 +30,10 @@ affiliations: The reuse of data in research refers to the practice of utilizing existing data sets for new research questions. It is a common practice in various scientific fields, and it can lead to increased scientific efficiency, reduced costs, and enhanced scientific collaborations. Additionally, the reuse of well-documented data can serve as an independent verification of original findings, thereby enhancing the reproducibility of research. This indicator aims to capture the extent to which researchers engage in the reuse of data in their research, by quantifying the number and proportion of studies that utilize previously collected data. The indicator can be used to assess the level of scientific collaboration and sharing of data within a specific scientific community or field, and to identify potential barriers or incentives for the reuse of data in research. Additionally, it can serve as a measure of the quality and reliability of research, as the reuse of data can increase the transparency, validity, and replicability of research findings. +### Connections to Related Indicators + +This indicator emphasizes the adoption and utilization of existing datasets for new research purposes, highlighting its role in enhancing reusability, reproducibility, collaboration, and research efficiency. In contrast, the [Use of Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/2_academic_impact/use_of_data_in_research.html) focuses on the initial incorporation of data into research activities and its contributions to academic outputs. Furthermore, the [Impact of Open Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/5_reproducibility/impact_of_open_data_in_research.html) extends this perspective by evaluating how openly shared datasets foster transparency, accessibility, and innovation across the scientific community. + ## Metrics ### Number of datasets reused in publications @@ -122,4 +126,4 @@ One limitation of this methodology is that it may not capture all instances of d To measure the proposed metric, DataSeer.ai can scan the body of text in research articles and identify instances of dataset reuse. -However, it is important to note that DataSeer.ai's ability to determine actual data reuse may depend on the explicitness of the authors' writing about their data usage, thus not capturing all instances of dataset reuse if they are not explicitly mentioned in the text. Moreover, the machine learning algorithms used by the tool may not always accurately classify whether a dataset has been reused and may require manual validation. \ No newline at end of file +However, it is important to note that DataSeer.ai's ability to determine actual data reuse may depend on the explicitness of the authors' writing about their data usage, thus not capturing all instances of dataset reuse if they are not explicitly mentioned in the text. Moreover, the machine learning algorithms used by the tool may not always accurately classify whether a dataset has been reused and may require manual validation. From 813589c4f7323ebc229956358d1b680fb31f1645 Mon Sep 17 00:00:00 2001 From: Petros Stavropoulos Date: Mon, 18 Nov 2024 20:34:56 +0200 Subject: [PATCH 2/2] Update reuse_of_data_in_research.qmd --- .../quarto/5_reproducibility/reuse_of_data_in_research.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd b/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd index ae132c4..2f8c1bc 100644 --- a/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd +++ b/indicator_templates/quarto/5_reproducibility/reuse_of_data_in_research.qmd @@ -30,7 +30,7 @@ affiliations: The reuse of data in research refers to the practice of utilizing existing data sets for new research questions. It is a common practice in various scientific fields, and it can lead to increased scientific efficiency, reduced costs, and enhanced scientific collaborations. Additionally, the reuse of well-documented data can serve as an independent verification of original findings, thereby enhancing the reproducibility of research. This indicator aims to capture the extent to which researchers engage in the reuse of data in their research, by quantifying the number and proportion of studies that utilize previously collected data. The indicator can be used to assess the level of scientific collaboration and sharing of data within a specific scientific community or field, and to identify potential barriers or incentives for the reuse of data in research. Additionally, it can serve as a measure of the quality and reliability of research, as the reuse of data can increase the transparency, validity, and replicability of research findings. -### Connections to Related Indicators +### Connections to Academic Indicators This indicator emphasizes the adoption and utilization of existing datasets for new research purposes, highlighting its role in enhancing reusability, reproducibility, collaboration, and research efficiency. In contrast, the [Use of Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/2_academic_impact/use_of_data_in_research.html) focuses on the initial incorporation of data into research activities and its contributions to academic outputs. Furthermore, the [Impact of Open Data in Research](https://handbook.pathos-project.eu/indicator_templates/quarto/5_reproducibility/impact_of_open_data_in_research.html) extends this perspective by evaluating how openly shared datasets foster transparency, accessibility, and innovation across the scientific community.