Lost or found? Discovering data needed for research

09/01/2019
by   Kathleen Gregory, et al.
0

Finding or discovering data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of and (re)use data for research. This study presents evidence from the largest known survey investigating how researchers discover and use data that they do not create themselves. We examine the data needs and discovery strategies of respondents, propose a typology for data (re)use and probe the role of social interactions and other research practices in data discovery, with the aim of informing the design of community-centric solutions and policies.

READ FULL TEXT

page 7

page 10

page 11

page 14

page 15

page 16

page 17

page 21

research
11/20/2019

Talking datasets: Understanding data sensemaking behaviours

The sharing and reuse of data are seen as critical to solving the most c...
research
09/29/2022

Supporting data discovery: A meta-synthesis comparing perspectives of support specialists and researchers

Purpose: Data discovery practices currently tend to be studied from the ...
research
02/04/2019

Discovering Nested Communities

Finding communities in graphs is one of the most well-studied problems i...
research
12/23/2016

Anatomy of Scholarly Information Behavior Patterns in the Wake of Social Media

As more scholarly content is being born digital or digitized, digital li...
research
05/25/2018

Matching Startup Founders to Investors: a Tool and a Study

The process of matching startup founders with venture capital investors ...
research
03/27/2017

Discovering Scholarly Orphans Using ORCID

Archival efforts such as (C)LOCKSS and Portico are in place to ensure th...
research
09/04/2020

Unlucky Number 13? Manipulating Evidence Subject to Snooping

Questionable research practices like HARKing or p-hacking have generated...

Please sign up or login with your details

Forgot password? Click here to reset