Current state of data stewardship tools in life science. [PDF]
In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices.
Aksenova A +5 more
europepmc +3 more sources
Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review. [PDF]
Background Thorough data stewardship is a key enabler of comprehensive health research. Processes such as data collection, storage, access, sharing, and analytics require researchers to follow elaborate data management strategies properly and ...
Inau ET, Sack J, Waltemath D, Zeleke AA.
europepmc +2 more sources
Data Stewardship Addressing Disciplinary Data Management Needs [PDF]
One of the biggest challenges for multidisciplinary research institutions which provide data management support to researchers is addressing disciplinary differences (Akers and Doty,2013).
Marta Teperek +4 more
doaj +4 more sources
Poor data stewardship will hinder global genetic diversity surveillance. [PDF]
Genomic data are being produced and archived at a prodigious rate, and current studies could become historical baselines for future global genetic diversity analyses and monitoring programs.
Toczydlowski RH +19 more
europepmc +2 more sources
Data Practices and Data Stewardship
This forum is dedicated to exploring the notion of meaningfulness in design processes, taking the perspectives of community groups, nongovernmental organizations, and those who are marginalized in society as starting points. Authors will reflect conceptually and methodologically on practical engagements. --- Rosanna Bellini and
Janis Wong
openaire +2 more sources
Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applications. [PDF]
Researchers have increasingly adopted AI and next-generation sequencing (NGS), revolutionizing genomics and high-throughput screening (HTS), and transforming our understanding of cellular processes and disease mechanisms.
Taddese AA, Addis AC, Tam BT.
europepmc +2 more sources
Initiatives, Concepts, and Implementation Practices of FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles in Health Data Stewardship Practice: Protocol for a Scoping Review. [PDF]
Background Data stewardship is an essential driver of research and clinical practice. Data collection, storage, access, sharing, and analytics are dependent on the proper and consistent use of data management principles among the investigators.
Inau ET, Sack J, Waltemath D, Zeleke AA.
europepmc +2 more sources
Data Stewardship Wizard is a tool that facilitates the process of Data Management Planning / Data Stewardship Planning with a focus on the benefit to the research at hand.
Hooft, Rob +2 more
openaire +2 more sources
Exploring the benefits of participatory action research to a participatory data stewardship community project: the Round ‘Ere case study on data and well-being [PDF]
IntroductionTraditional data and measures about health and well-being provide vital insights but do not provide context on the ways in which a community may want to see development in their local area.
Emily S. Rempel +2 more
doaj +2 more sources
Curriculum Development for FAIR Data Stewardship
Abstract The FAIR Guidelines attempts to make digital data Findable, Accessible, Interoperable, and Reusable (FAIR). To prepare FAIR data, a new data science discipline known as data stewardship is emerging and, as the FAIR Guidelines gain more acceptance, an increase in the demand for data stewards is expected.
Francisca Oladipo +4 more
openaire +2 more sources

