Research Data

Permanent URI for this collectionhttps://www.weizenbaum-library.de/handle/id/977

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Author: search.filters.author.Schimmler, Sonja

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    Supporting Information for “How Research Data Management Plans Can Help in Harmonizing Open Science and Approaches in the Digital Economy”
    (2022) Salazar, Abel; Wentzel, Bianca; Schimmler, Sonja; Gläser, Roger; Hanf, Schirin; Schunk, Stephan A.
    Supporting Information - 1. Business models, which can arise within a digital economy - 2. Information about the questionnaire - Table S1: Overview of the answers to questions 1 to 7 - Table S2: Overview of the answers to questions 8 to 11
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    Umfrage zu Forschungsdatenmanagement am Weizenbaum-Institut
    (Zenodo, 2021) Toth, Roland; Vuorimäki, Julian; Schimmler, Sonja; Krzywdzinski, Martin; Friesike, Sascha; Neuberger, Christoph; Oellers, Claudia
    This dataset contains responses to a survey on open data and open access amongst members of the Weizenbaum Institute for the Networked Society which ran from 30 August to 21 September 2021. The survey elicited 39 valid responses out of 181 potential respondents working at the institute. Contributors (according to CRediT): Roland Toth Roles: Conceptualization, Data Curation, Formal Analysis, Investigation, Validation. Julian Vuorimäki Roles: Conceptualization, Investigation, Project Administration, Validation. Sonja Schimmler Roles: Conceptualization, Supervision. Martin Krzywdzinski Roles: Conceptualization, Supervision. Sascha Friesike Roles: Conceptualization, Supervision. Christoph Neuberger Roles: Conceptualization, Supervision. Claudia Oellers Roles: Conceptualization, Project Administration, Supervision.
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    Data of the paper: Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint
    (Center for Open Science, 2022-06-22) Franzreb, Carlos; Schimmler, Sonja; Bauer, Mareike Fenja
    This project contains sources related with the paper „Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint“:
    Scripts
    Scripts used to retrieve Tweets and to analyze/visualize them.

    Quantitative Analysis: Data
    + tweets.json: All Tweets of the relevant users as nodes and their relationships (retweet, quote or reply) as edges.
    + users_clustered.json: Users as nodes and their follow-relationships as edges, clustered with the Leiden algorithm.
    + follower_network.json: JSON file corresponding to Figure 1.
    + interaction_network.json: JSON file corresponding to Figure 2

    Qualitative Analysis: Data
    Replies and quotes of the Tweets that are used in the qualitative analysis.
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    FAIREST Metrics and Assessment Data
    (zenodo, 2021-11-08) d’Aquin, Mathieu; Kirstein, Fabian; Schimmler, Sonja; Oliveira, Daniela; Urbanek, Sebastian

    This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”. In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars:

    1. an analysis of established features and functionalities, drawn from existing solutions,
    2. a literature review on general requirements for digital repositories for research artefacts and related systems.

        3. We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed. The solutions are:

        • – ResearchGate
        • – Academia.edu
        • – Zenodo
        • – arXiv
        • – Bibsonomy
        • – Figshare
        • – CKAN
        • – DSpace
        • – Invenio
        • – Dataverse
        • – EPrints

            • Overview of the data

            01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx

            This Excel file includes both the assessment metrics and the results for the 11 solutions


            02 FAIREST Assessment Metrics.csv

            The assessment metrics as CSV


            XX FAIREST Assessment XXX.csv

            Assessment result for the respective solution


            14 FAIREST Assessment Template.xlsx

            A template to apply the metrics to an individual solution

            Note: Fill in your assessment in column F and get the result at the bottom of the sheet