Evidence map›Paper›PMID 29756001›Full record

ArticleProceedings ... IEEE International Conference on eScience. IEEE International Conference on eScience2017

Experiences with Deriva: An Asset Management Platform for Accelerating eScience.

Alejandro Bugacov, Karl Czajkowski, Carl Kesselman, Anoop Kumar, Robert E Schuler, Hongsuda Tangmunarunkit

Abstract read
In one paragraph

Article in Proceedings ... IEEE International Conference on eScience. IEEE International Conference on eScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022
    Review
  6. Article
  7. Article
  8. Regional synapse gain and loss accompany memory formation in larval zebrafish.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. New system for archiving integrative structures.Acta crystallographica. Section D, Structural biology · 2021
    Article
  11. Towards Co-Evolution of Data-Centric Ecosystems.Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management · 2020
    Article
  12. Toward FAIR Knowledge Turns in Bioinformatics.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alejandro BugacovInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.
Karl CzajkowskiInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.
Carl KesselmanInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.
Anoop KumarInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.
Robert E SchulerInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.
Hongsuda TangmunarunkitInformation Sciences Institute, Viterbi School of Engineering, University of Southern California, Marina del Rey, CA 90292.

Funding

TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
FaceBase 2 Coordinating CenterU01DE024449 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL · 2014 to 2018
$10.2M
Dynamic mapping of the complete synaptome using recombinant probesR01MH107238 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARNOLD, DONALD B, FRASER, SCOTT E · 2014 to 2018
$9.7M
The USC (Re)Building the Kidney Coordinating CenterU01DK107350 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL, VALERIUS, MICHAEL TODD · 2015 to 2019
$9.0M
NIBIB NIH HHS U54 EB020406NIDCR NIH HHS U01 DE024449NIDDK NIH HHS U01 DK107350NIMH NIH HHS R01 MH107238
6 · The paper itself

Abstract

The pace of discovery in eScience is increasingly dependent on a scientist's ability to acquire, curate, integrate, analyze, and share large and diverse collections of data. It is all too common for investigators to spend inordinate amounts of time developing ad hoc procedures to manage their data. In previous work, we presented Deriva, a Scientific Asset Management System, designed to accelerate data driven discovery. In this paper, we report on the use of Deriva in a number of substantial and diverse eScience applications. We describe the lessons we have learned, both from the perspective of the Deriva technology, as well as the ability and willingness of scientists to incorporate Scientific Asset Management into their daily workflows.

Identifiers

PMID29756001
PMCPMC5939963

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.