An Analysis of NSF Data Management Plan Guidelines
Author(s)
Tian, Yubing
Bennett, Anastasia
Sutherland, Will
Ferguson, Amy
Ford, Morgan
Li, Jessica Nga-Kei
Yarbrough, Elizabeth
Finn, Megan
Acker, Amelia
Issue Date
2021-03-17
Keyword(s)
Data Management Policies
Scientific Data
Data Afterlives
Data Repositories
Abstract
This poster reports on ongoing research into the National Science Foundation’s Data Management Plan guidelines and its impact on science data lifecycles. We ask two research questions (RQs): 1) How does guidance about the formulation of DMPs vary across different research areas? And 2) How has guidance about the management of data changed since the first DMP policies were published in 2011? To this end, we collected, examined, and compared 37 DMP guidance policies from 15 different research areas. We identify the following three themes during document analysis: 1) Responsibility for the future of data; 2) Data maintenance changes over time; and 3) The use of data repositories. Based on these preliminary findings we believe that National Science Foundation guidance policies represent a unique view into changes in data management practices over the last decade.
Publisher
iSchools
Type of Resource
text
Language
eng
Permalink
http://hdl.handle.net/2142/109701
Copyright and License Information
Copyright 2021 is held by Yubing Tian, Anastasia Bennett, Will Sutherland, Amy Ferguson, Morgan Ford, Jessica Nga-Kei Li, Elizabeth Yarbrough,
Megan Finn, and
Amelia Acker. Copyright permissions, when appropriate, must be obtained directly from the authors.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.