Name
Abstract | ||
|---|---|---|
To be effective and at the same time sustainable, a community data curation model has to be aligned with the community's current work organization: practices and activities; divisions of labor; data and collaborative relationships; and the community's value structure, norms, and conventions for data, quality assessment, and data sharing. This poster discusses a framework for developing a community data curation model, using a case of the scientific community gathered around the National High Magnetic Field Laboratory, a large national lab. The poster also reports findings of preliminary research based on semi-structured interviews with a sample of the main stakeholder groups of the community. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2467696.2467781 | JCDL |
Keywords | Field | DocType |
community data curation model,current work organization,scientific community,quality assessment,data practice,national high,magnetic field laboratory,preliminary research,main stakeholder group,collaborative relationship,large national lab,data management,condensed matter physics,data curation,data quality,activity theory | Data quality,Stakeholder,Computer science,Data sharing,Knowledge management,Data curation,Work organization,Data management | Conference |
ISSN | Citations | PageRank |
2575-7865 | 2 | 0.36 |
References | Authors | |
1 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Besiki Stvilia | 1 | 624 | 42.74 |
| Charles C. Hinnant | 2 | 87 | 8.64 |
| Shuheng Wu | 3 | 31 | 6.71 |
| Adam Worrall | 4 | 84 | 7.62 |
| Dong Joon Lee | 5 | 15 | 4.54 |
| Kathleen Burnett | 6 | 89 | 8.93 |
| Gary Burnett | 7 | 81 | 7.52 |
| Michelle Kazmer | 8 | 212 | 25.25 |
| Paul F. Marty | 9 | 91 | 11.51 |