LibGuides UPRM: Research Data Management (RDM): Introduction

Data Management Benefits

For researchers:

Makes it easier to understand your data
Avoids duplication of data
Reduces the risk of loss
Improves documentation related to the project
Facilitates search and reuse of data
Aids in the decision-making process

For other users:

Improves the comprehension of data
Allows the project to continue
Promotes reproducibility and validation
Increases visibility
Diversifies collaboration opportunities

Keywords

Search terms:

data management
data management plan
research data management

Data Management at UPRM

Graduate Research and Innovation Center

Support for the creation and drafting of data management plans
Consultations about data management best practices
Development of informative documents related to data management
Workshops about data management and the creation of data management plans

General Library
Jaquelina Álvarez & José J. Morales Benítez
(787) 832-4040, ext. 6229, 2309
gric@uprm.edu

Office of Proposal Development

Support for finding funds for research
Consultations for the creation of proposals
Proposal revisions
Workshops about managing proposals

Investigation and Development Center
(787) 832-4040, ext. 5250
(787) 831-2065
pdu@uprm.edu

What is data management?

Research Data Management (RDM), known is Spanish as Gestión de datos de investigación, refers to everything related to the organization, exchange, and management of data throughout what is known as the research data lifecycle. It focuses on an array of tasks that are necessary for your data to be trustworthy and reproducible, applying best practices in all phases: creation, analysis, dissemination, storage, preservation, and exchange.

Ciclo de vida de los datos de investigación. Image from the webpage University of Virginia Library: Research Data Services, http://data.library.virginia.edu/data-management/

Data management is an important and mandatory part of research projects for the following reasons:

Federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), National Institute of Food and Agriculture (NIFA), National Oceanic and Atmospheric Administration (NOAA), National Endowment for the Humanities (NEH), and others, require the submission of a data management and exchange plan during the process of requesting funds.

The February 22, 2013 directive, published by the Office of Science and Technology Policy of the White House, establishes: "The Administration is committed to ensuring that, to the greatest extent and with the fewest constraints possible (...), the direct results of federally funded scientific research are made available to and useful for the public, industry, and the scientific community. Such results include peer-reviewed publications and digital data."

The CENDI working group, composed of 12 federal agencies, has developed the guide Implementation of Public Access Programs in Federal Agencies. This guide has detailed information about agencies that require the preparation of data management plans.

This supplementary video is part of the Research Data Management and Sharing MOOC available on Coursera (https://www.coursera.org/learn/data-m...). This video was produced by Kasha Ely under the Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project made possible in part by the Institute of Museum and Library Services under award #RE-06-13-0052-13. #RDMSmooc

Glossaries