reproducibilitydata.csv

A rubric, created by the authors, that was followed throughout reading the 25 (Ecology, Astrogeology and Geology) manuscripts. The rubric is used to outline reproducibility factors found, or not found, that establish authority, credibility, and scientific integrity. The metadata attached includes a data dictionary, with description of attributes and the codes used. The code script attached was created in R-Studio, by mentor M. Langseth at USGS. The core process in the project process began with, and revolved around, analyzing 25 scientific manuscripts. These manuscripts were analyzed based on a reproducibility rubric created by the authors. Papers were chosen and separated based on publication year (pre-2016/post-2016) and disciplines (Ecology/Astrogeology/Geology). The rubric was created using google sheets, and aided the authors in search for all factors agreed valuable for reproducibility. For each manuscript, data, software, and author information was being looked for in-text, in approved repositories, and on publisher website. Once authors individually analyzed chosen manuscripts and demonstrated qualities of the papers’ on rubric, a combined reproducibility data sheet was created using google sheets. Metadata was provided along with combined data sheet, which includes attributes, descriptions of the attributes and related codes. Using R-studio, a script, with data points based on a CSV (comma-separated value) download of the author’s reproducibility data, was created to demonstrate findings visually. For the figures, "percentage of publications" (y-axis), is based off of the total 25 manuscripts read by both of the authors. Descriptions of attributes in figures, defined in data dictionary. The images included in this data set demonstrate how we found certain samples and data. The image of the slides are from pollen samples in the paper we had read from 1978. The samples in the slide have started to die, or are chemically degrading. This outlines the purpose behind publishing samples in an online database, in order to preserve this pivotal aspect of science for years to come. This same purpose is demonstrated with the image of the document. The paper is crumbing, and the words are wearing quickly. In order to preserve the document for future science and research, an online version should be available. A metadata record has been attached to this data set in txt, html, and xml formats.<br>