Evidence map›Paper›PMID 26508342›Full record

ArticleAmbio2015

Digital innovation through partnership between nature conservation organisations and academia: a qualitative impact assessment.

Carlos Galán-Díaz, Peter Edwards, John D Nelson, René van der Wal

Abstract read
In one paragraph

Article in Ambio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. 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

4 authors.

Carlos Galán-Díazdot.rural (RCUK Digital Economy Research), University of Aberdeen, MacRobert Building, King's College, Aberdeen, AB24 5UA, UK. pozaicer@yahoo.com.
Peter Edwardsdot.rural (RCUK Digital Economy Research), University of Aberdeen, MacRobert Building, King's College, Aberdeen, AB24 5UA, UK. p.edwards@abdn.ac.uk.
John D Nelsondot.rural (RCUK Digital Economy Research), University of Aberdeen, MacRobert Building, King's College, Aberdeen, AB24 5UA, UK. j.d.nelson@abdn.ac.uk.
René van der WalAberdeen Centre for Environmental Sustainability (ACES), School of Biological Sciences, University of Aberdeen, Auris, 23 St. Machar Drive, Aberdeen, AB24 3UU, UK. r.vanderwal@abdn.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nature conservation organisations increasingly turn to new digital technologies to help deliver conservation objectives. This has led to collaborative forms of working with academia to spearhead digital innovation. Through in-depth interviews with three UK research-council-funded case studies, we show that by working with academics conservation organisations can receive positive and negative impacts, some of which cut across their operations. Positive impacts include new ways of engaging with audiences, improved data workflows, financial benefits, capacity building and the necessary digital infrastructure to help them influence policy. Negative impacts include the time and resources required to learn new skills and sustain new technologies, managing different organisational objectives and shifts in working practices as a result of the new technologies. Most importantly, collaboration with academics was shown to bring the opportunity of a profound change in perspectives on technologies with benefits to the partner organisations and individuals therein.

Indexed as

InternetInventionsConservation of Natural ResourcesCooperative BehaviorDigital technologiesImpactImpact assessmentNature conservationPartnership working with academia

Identifiers

PMID26508342
PMCPMC4623857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.