Home

Menu

Loading wiki pages...

View
Wiki Version:
<h1>Preprocessing systematic review data of Brouwer et al. (2019) for use in ASReview</h1> <p>This repository contains steps and scripts to produce one single dataset of records (<code>brouwer_2019.csv</code>) that were screened in subsets as part of the systematic review conducted by Brouwer et al. (2019). </p> <p>The raw files used to produce the dataset are stored in <code>/raw</code>.</p> <p>The dataset is spread out in different subsets: - Behaviour - Cognitive - Diathesis - Personality - Psychodynamic - Additional search (update of searches at the end of the review process)</p> <p>We went through the following steps to build the <code>brouwer_2019.csv</code> dataset:</p> <h2>Retrieve abstracts</h2> <p>Some records in the raw data did not contain an abstract. We imported the bib files into an EndNote library to retrieve missing abstracts.</p> <p>The following steps were taken for each bib file:</p> <ol> <li>Import bibfile to Endnote.</li> <li>Sort records on abstract field and select records without abstracts</li> <li>Update references without abstracts (update empty fields only)</li> <li>Export as a .ris file to the folder <code>raw/1 - retrieve abstracts/ris-with-abstracts</code>.</li> </ol> <p>See also <code>raw/1 - retrieve abstracts/datasets bockting.xlsx</code> for a log.</p> <h2>Search and label inclusions.</h2> <p>The raw files do not contain information whether a record is relevant or not. Therefore, the data had to be manually inspected to identify the relevant records.</p> <p>We then imported the RIS files in Zotero. For each of the subsets, it was necessary to check which of the which of the relevant records are present in the respective subset. The appendix from the original systematic review contained the reference list of relevant records.</p> <p>If a relevant record was found in a subset, the 'Tag' functionality of Zotero was used to assign a label "Included" to the record. A log of the process can be found in the folder <code>raw/2 - detect inclusions/zotero-labeling</code></p> <p>Three relevant records in the reference list were missing (see <code>missing_records.docx</code>, marked yellow). After consulting Marlies Brouwer, these were manually added to the Zotero library.</p> <p>The Zotero libraries were exported as separate <code>.csv</code> files, to be found in the <code>raw/2 - detect inclusions/zotero-export/csv-included-tag</code> folder. The Zotero library as is can be found in <code>raw/2 - detect inclusions/zotero-export/rdf- included-tag</code>.</p> <h2>Combining the subsets into one dataset</h2> <p>The R-script <code>scripts/Detect_inclusions2.R</code> combines all subsets into one dataset and subsequently adds a column <code>included</code> to indicate the relevant records in the dataset, and a column <code>search</code> to indicate the subset from which the record originates.</p> <p>|search | n_inclusions| n_total| |:--------------------|------------:|-------:| |additional | 7| 4259| |behavior | 6| 10245| |cognitive | 32| 8369| |cognitive_additional | 2| 5461| |diathesis | 1| 5336| |missing | 3| 3| |personality | 11| 6624| |psychodynamic | 1| 10639|</p> <p>The final output is <code>brouwer_2019.csv</code>, which can be found in the main directory of the OSF repository.</p> <h1>Reference to the original study</h1> <p>Brouwer, M. E., Williams, A. D., Kennis, M., Fu, Z., Klein, N. S., Cuijpers, P., & Bockting, C. L. H. (2019). Psychological theories of depressive relapse and recurrence: A systematic review and meta-analysis of prospective studies. Clinical Psychology Review, 74, 101773. <a href="https://doi.org/10.1016/j.cpr.2019.101773" rel="nofollow">https://doi.org/10.1016/j.cpr.2019.101773</a></p> <h1>License</h1> <p>This dataset has a CC-By 4.0 license.</p> <h1>Contact</h1> <p>For any questions or remarks, please send an email to <a href="https://orcid.org/0000-0002-9972-9058" rel="nofollow">Marlies Brouwer</a></p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.