Persistent Identifier
|
doi:10.18419/darus-3144 |
Publication Date
|
2022-09-29 |
Title
| "Research Data Curation in Visualization : Position Paper" (Data) |
Author
| Garkov, Dimitar (Department of Computer and Information Science, University of Konstanz) - ORCID: 0000-0002-2134-1686
Müller, Christoph (Visualization Research Center (VISUS), University of Stuttgart) - ORCID: 0000-0002-9979-3682
Braun, Matthias (Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC), University of Stuttgart) - ORCID: 0000-0001-8591-3690
Weiskopf, Daniel (Visualization Research Center (VISUS), University of Stuttgart) - ORCID: 0000-0003-1174-1026
Schreiber, Falk (Department of Computer and Information Science, University of Konstanz) - ORCID: 0000-0002-9307-3254 |
Point of Contact
|
Use email button above to contact.
Schreiber, Falk (University of Konstanz) |
Description
| 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 No policy to Required sharing and preservation. Additionally the verbatim statements (or the lack thereof) used to reach the concluded score are also provided.
Abstract: 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. |
Subject
| Computer and Information Science |
Keyword
| Data Curation (LCSH) https://id.loc.gov/authorities/subjects/sh2015001855.html
Visualization (LCSH) http://id.loc.gov/authorities/subjects/sh85143939
Research--Data Processing (LCSH) http://id.loc.gov/authorities/subjects/sh85113022
Data Processing Service Centers--Management (LCSH) http://id.loc.gov/authorities/subjects/sh89004335
Paper--Preservation (LCSH) http://id.loc.gov/authorities/subjects/sh85097586
Digital Preservation (LCSH) http://id.loc.gov/authorities/subjects/sh95004496
Reproducible Research (LCSH) https://id.loc.gov/authorities/subjects/sh2013002574
Replication (Experimental Design) (LCSH) http://id.loc.gov/authorities/subjects/sh94003448
Head-Mounted Displays (LCSH) http://id.loc.gov/authorities/subjects/sh2017002969
Virtual Reality Headsets (LCSH) http://id.loc.gov/authorities/subjects/sh2017002969 |
Related Publication
| 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, accepted. handle: |
Notes
| Data collection methodology and sources are also described inside the Excel (.xlsx) data file. |
Language
| English |
Producer
| Garkov, Dimitar (Department of Computer and Information Science, University of Konstanz) |
Production Date
| 2022-06 |
Funding Information
| DFG: 51654672 |
Project
| SFB/Transregio 161 (Level 0)
Quantitative Methods for Visual Computing (Level 1) |
Depositor
| Garkov, Dimitar |
Deposit Date
| 2022-09-18 |
Data Type
| Aggregate Data |
Data Source
| In the data files themselves. |