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Part 1: Document Description
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Citation |
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Title: |
"Research Data Curation in Visualization : Position Paper" (Data) |
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Identification Number: |
doi:10.18419/darus-3144 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2022-09-29 |
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Version: |
1 |
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Bibliographic Citation: |
Garkov, Dimitar; Müller, Christoph; Braun, Matthias; Weiskopf, Daniel; Schreiber, Falk, 2022, ""Research Data Curation in Visualization : Position Paper" (Data)", https://doi.org/10.18419/darus-3144, DaRUS, V1, UNF:6:yUhRXAoSoLD387EnHtthFg== [fileUNF] |
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Citation |
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Title: |
"Research Data Curation in Visualization : Position Paper" (Data) |
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Identification Number: |
doi:10.18419/darus-3144 |
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Authoring Entity: |
Garkov, Dimitar (Department of Computer and Information Science, University of Konstanz) |
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Müller, Christoph (Visualization Research Center (VISUS), University of Stuttgart) |
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Braun, Matthias (Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC), University of Stuttgart) |
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Weiskopf, Daniel (Visualization Research Center (VISUS), University of Stuttgart) |
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Schreiber, Falk (Department of Computer and Information Science, University of Konstanz) |
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Producer: |
Garkov, Dimitar |
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Date of Production: |
2022-06 |
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Grant Number: |
251654672 |
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Grant Number: |
EXC 2120/1 - 390831618 |
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Distributor: |
DaRUS |
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Access Authority: |
Schreiber, Falk |
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Depositor: |
Garkov, Dimitar |
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Date of Deposit: |
2022-09-18 |
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Holdings Information: |
https://doi.org/10.18419/darus-3144 |
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Study Scope |
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Keywords: |
Computer and Information Science, Data Curation, Visualization, Research--Data Processing, Data Processing Service Centers--Management, Paper--Preservation, Digital Preservation, Reproducible Research, Replication (Experimental Design), Head-Mounted Displays, Virtual Reality Headsets |
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Abstract: |
Here, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visualization, computer graphics, software, HCI, and Virtual Reality with inclusions from multimedia, collaboration, and network visualization, for the years 2021-2022. Based on a derived index, long-term preservation and data sharing are evaluated for each venue. The index ranges from <i>No policy</i> to <i>Required sharing and preservation</i>. Additionally the verbatim statements (or the lack thereof) used to reach the concluded score are also provided. <p><b>Abstract</b>: Research data curation is the act of carefully preparing research data and artifacts for sharing and long-term preservation. Research data management is centrally implemented and formally defined in a data management plan to enable data curation. In tandem, data curation and management facilitate research repeatability. In contrast to other research fields, data curation and management in visualization are not yet part of the researcher’s compendium. In this position paper, we discuss the unique challenges visualization faces and propose how data curation can be practically realized. We share eight lessons learned in managing data in two large research consortia, outline the larger curation workflow, and define the typical roles. We complement our lessons with minimum criteria for selecting a suitable data repository and five challenging scenarios that occur in practice. We conclude with a vision of how the visualization research community can pave the way for new curation standards.</p> |
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Kind of Data: |
Aggregate Data |
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Notes: |
Data collection methodology and sources are also described inside the Excel (.xlsx) data file. |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
In the data files themselves. |
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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: |
Garkov, D., Müller, C., Braun, M., Weiskopf, D., Schreiber, F., “Research Data Curation in Visualization : Position Paper”, in 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, 2022. |
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Identification Number: |
10.1109/BELIV57783.2022.00011 |
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Bibliographic Citation: |
Garkov, D., Müller, C., Braun, M., Weiskopf, D., Schreiber, F., “Research Data Curation in Visualization : Position Paper”, in 2022 IEEE Workshop on Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, 2022. |
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File Description--f148818 |
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File: VisDataPolicies_2.1.tab |
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Notes: |
UNF:6:yUhRXAoSoLD387EnHtthFg== |
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List of Variables: |
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Variables |
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f148818 Location: |
Variable Format: character Notes: UNF:6:CsORlkEKb4NjN0jJ3HeMIg== |
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f148818 Location: |
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f148818 Location: |
Variable Format: character Notes: UNF:6:euA3JS+ibtC6orLsUTN8bA== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:79mfkjTRDejUseAQZPotbQ== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:MlbbNuCzPQ+k8gdQH0O9ow== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:a1232Se9gaVAs2yTtEi04A== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:x/ArxRqhN59VOHrJvZ4oVQ== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:hmXuQpDOyA3fej9M2ED0Bg== |
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f148818 Location: |
Variable Format: character Notes: UNF:6:LR5KqjtKkaq/78+CcLH6Ng== |
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Label: |
VisDataPolicies_2.1.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |