Demo Data from EDBT 2026 / reviewers in the wild / expert
Mark H. Butler
dblp:82/367
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › information sharing
data sharing |
0.0 | 1 | 1998 | Cooperative Knowledge Work and Practices of Trust: Sharing Environmental Planning Data Sets · CSCW 1998 |
Collaborative and social computing
knowledge work |
0.0 | 1 | 1998 | Cooperative Knowledge Work and Practices of Trust: Sharing Environmental Planning Data Sets · CSCW 1998 |
Collaborative and social computing › online communities
communities of practice |
0.0 | 1 | 1998 | Cooperative Knowledge Work and Practices of Trust: Sharing Environmental Planning Data Sets · CSCW 1998 |
Methods — techniques the papers use, named apart from their topics
qualitative study · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Cooperative Knowledge Work and Practices of Trust: Sharing Environmental Planning Data SetsabstractWowledge communities of ti kinds have social ad material practices for deciding what is known and who is to be -h ti paper, we address a spec%c kind of knowledge work environrnenti planning, and a partictdar form of coflaboratio~tie sharing ofmeasurement data sets.We xe interested in how trust is create~how trustab%ty is assessed in the arrn's-length co~aboration of sharing data sex and how changes in technolo~intemct tith those practices of ~L We look at seveti elements of scientic pmctice that ficfitate this sharing -communities of practice, boundary objects, and assemblages -and discuss the impficntions for CSCW, digiti fibraries, and other tiormation-sharing applications.Ke~ords fiowledge u'or~enviromnenti plamting, boundary objects, assemblages, communities of practice, data sets, digiti kiraries, UC Berkeley Dim Library lNTRODUC~ON Technology desi~ed to support work has to be consonant ~~titbacti work practices.CSCW is e~ficitiy concerned ujth the socifly-ormd practices of users, as we~as with technologi~support for those practices.hluch CSCW research and design has been directd at stnti, stable, heterogeneous groups with on-going org-oti andor task connections [e.g.1S, 164, et d].Even when membership in the group is fily lmge, it is, or is assumed to be, tited andor know e.g.people working on a projec~within an ormtio~or as part of a professional community.However, much cooperative work is performed by large, heterogeneous, sfig, transient groups,distributed in time and space, with permeabIe bounties.Permimion to make di~bl or hard copies of all or part of this \vork for paonal or classroom use is granted without fee provided that copies are not made or dism%utedfor profit or commercial ad%=tage and that copiesbear this notice and the fill citation on the firstpaga To copy otim~is~to Tepublish,to post on senrers or to rdlsm%ute to ~its, requires prior specific perrnision an&'ora f= CSC\V 98 Seattle IVxtington USA Cop~ti@t ACLI 199S 1-5S1134094/9S/1 I...00OO. Nancy A. Van House, Mark H. Butler, Lisa R. Schiff |
CSCW | 2 |