Risk Assessment for Scientific Data

  title={Risk Assessment for Scientific Data},
  author={Matthew S. Mayernik and Kelsey Breseman and Robert R. Downs and Ruth E. Duerr and Alexis Garretson and Chung-Yi Hou},
  journal={Data Sci. J.},
Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those… 

Tables from this paper

A reporting format for leaf-level gas exchange data and metadata
Historical Scientific Analog Data: Life Sciences Faculty's Perspectives on Management, Reuse and Preservation
Older data in paper or analog format held in labs, offices, and archives across research institutions are an often overlooked resource for potential reuse in new scientific studies, and there are few mechanisms to help researchers find existing analog data in order to reuse it.
Vernal pool amphibian breeding ecology monitoring from 1931 to present: A harmonised historical and ongoing observational ecology dataset
The novel publication of a paired dataset of amphibian occurrence with environmental indicators spanning nearly 90 years of data collection, which represents the longest and largest time-series of herpetological sampling with paired water quality data.
Investigation and Development of the Workflow to Clarify Conditions of Use for Research Data Publishing in Japan
This paper presents a meta-modelling framework for solving the challenge of integrating e-commerce data stores to manage smart infrastructure and provide real-time information about how smart infrastructure works.
Integrating long-tail data: How far are we?


Where Have All the Scientific Data Gone? LIS Perspective on the Data-At-Risk Predicament
Although a majority of respondents agree that data preservation is important, they caution that time is the greatest barrier to sharing these data, and the study has implications for data rescue and for training information custodians.
Curation of Scientific Data at Risk of Loss: Data Rescue and Dissemination
In short, scientific data may be at risk of loss for a variety of reasons, and a data rescue effort can present new challenges for data curation and dissemination operations.
The State of Assessing Data Stewardship Maturity - An Overview
  • G. Peng
  • Computer Science
    Data Sci. J.
  • 2018
An overview of the current state of assessing stewardship maturity for federally funded digital scientific data is provided and a brief description of existing maturity assessment models and related application(s) is provided.
Metadata for Data Rescue and Data at Risk
The DARTG is developing a minimal and easy to use set of metadata properties for sufficiently describing endangered data, which will aid global data rescue missions, and the goals and principles supporting the DartG metadata schema are reported, and a description of the preliminary implementation is provided.
Project risk management
The article finds that understanding the risk management entails understanding the underlying factors that contribute to project risks and then defines a model for mitigating risk within a project.
A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets
This maturity model, leveraging community best practices and standards, provides a unified framework for assessing scientific data stewardship and can be used to create a stewardship maturity scoreboard of dataset(s) and a roadmap for scientific data governance improvement or to provide data quality and usability information to users, stakeholders, and decision makers.
A set of generic metadata descriptors that could serve as the basis for a "metadata standard" for nongeospatial ecological data are presented and several recommendations related to future development and implementation of ecological metadata are concluded.
Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project
As a part of the OneStop-ready process, tools, implementation guidance, workflows, and best practices are developed to assist the application of the DSMM and described in this paper.
Lessons from DataRescue: The Limits of Grassroots Climate Change Data Preservation and the Need for Federal Records Law Reform
The DataRescue project, a volunteer, grassroots effort to archive environmental information stored on federal websites, failed to produce a searchable, public access collection of records. The