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From umassmed.edu

Staking out the Stakeholders: Using NIST’s Research Data Framework Within a Public University System

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Purpose: This article first introduces and contextualizes the National Institute of Standards and Technology (NIST) Research Data Framework (RDaF) and then explores its application in a local context. Setting/Participants: The State University of New York (SUNY) System, both at a system-wide...

#oss #researchdata

18h ago

From umassmed.edu

Persistent Identifiers for Instruments and Facilities: Current State, Challenges, and Opportunities

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Objective: Persistent Identifiers (PIDs) are central to the vision of open science described in the FAIR Principles. However, the use of PIDs for scientific instruments and facilities is decentralized and fragmented. This project aims to develop community-based standards, guidelines, and best...

on Wed, 3PM

From umassmed.edu

Social Distancing while Blind: A Co-Designed COVID-19 Rapid Response Comic

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According to the Royal National Institute for the Blind (RNIB), more than two million people have sight loss and about 350,000 people are registered blind or partially sighted in the UK (RNIB 2019). Information about social distancing measures in the UK has been mainly visual and therefore poses...

on Nov 21

From umassmed.edu

Reclaim study - Sluss Lab

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Details on eligibility and how to join the RECLAIM study in the Sluss lab.

on Oct 10

From umassmed.edu

UMass Chan scientist Victor Ambros wins Nobel prize

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UMass Chan Medical School researcher Victor R. Ambros, PhD, will share the 2024 Nobel Prize in Physiology or Medicine for his co-discovery of microRNA, the very short, single-stranded RNA molecules that are now understood to play a critical role in post-transcriptional gene regulation.

on Oct 8

From umassmed.edu

Good Omens: New Services, Accurate Research Data

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Research data management and data curation need strong relationships with colleagues, collaborators, and researchers. Because change comes fast, assessment of current services and practices are important so that new paths and initiatives can be developed. Creating strong metadata will support...

on Sep 26

From umassmed.edu

Identifying metadata commonalities across restricted health data sources: A mixed methods study exploring how to improve the discovery of and access to restricted datasets

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Background: While open datasets are adopting FAIR principles to improve their discovery and use, restricted data—those only accessible via request or application—have fallen behind. Metadata is not an inherent characteristic of restricted data, which limits its ability to be found and used. To...

on Sep 26

From umassmed.edu

Librarians and Research Integrity Committees: Finding professional joy and fulfillment in practice and service

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This article describes how librarians can benefit from being members of research integrity committees. As two academic librarians, the authors share the ways that they have found professional fulfillment and joy through service on the Institutional Animal Care and Use Committee (IACUC) for...

on Sep 25

From umassmed.edu

Selin Lab

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Selin Lab, UMass Chan Medical School. Conducting cutting-edge research focused on understanding human adaptive immune responses and T cell responses in multiple neuroinflammatory and infection-associated chronic illnesses, such as myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) long...

on Sep 17

From umassmed.edu

Academic Library Pricing Dataset for SciFinder Scholar, Web of Science, and Scopus: 2018-2024

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This dataset contains database pricing and agreements received through public records requests made to members of the Association of Research Libraries (ARL) and a few non-ARL research libraries. Pricing from the years 2018 to 2024, depending on the institution, is included for three premium...

on Sep 10

From umassmed.edu

Toward Enhanced Reusability: A Comparative Analysis of Metadata for Machine Learning Objects and Their Characteristics in Generalist and Specialist Repositories

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Objective: The rapidly increasing prevalence and application of machine learning (ML) across disciplines creates a pressing need to establish guidance for data curation professionals. However, we must first understand the characteristics of ML-related objects shared in generalist and specialist...

on Aug 23

From umassmed.edu

UMass Chan advances research into long COVID, myalgic encephalomyelitis

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The research, led by UMass Chan viral immunologists Liisa Selin, MD, PhD, and Anna Gil, PhD, introduced a novel treatment and a method to track effective treatment interventions.

on Jul 2

From umassmed.edu

Data services at the academic library: a natural history of horses and unicorns

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Objective: Increases in data-intensive research at colleges and universities is driving demand for data services provided by academic libraries. The current work investigates the distribution of library data services, how such services are offered, and the effect of resourcing on the amount of...

on May 12

From umassmed.edu

Open Science Recommendation Systems for Academic Libraries

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<p>An interdisciplinary academic team offers a comprehensive case study describing the development of a predictive model as the cornerstone for an open science recommendation system tailored to the Carnegie Mellon University community. This initiative will empower users in choosing open science...

on Mar 13

From umassmed.edu

UMass Chan scientists develop technology to give night vision to mammals

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A new study in the journal Cell describes how Gang Han, PhD, and colleagues developed technology to give night vision to mammals with a simple injection that contains nanoantennae, allowing the animals to see light beyond the visible spectrum, into the range of infrared light.

on Mar 4

From umassmed.edu

Fen-Biao Gao lab

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Our lab uses a combination of molecular, cellular, genetic, and behavioral approaches to further dissect the pathogenic mechanisms of Frontotemporal Dementia and Amyotrophic Lateral Sclerosis with a focus on mutant CHMP2B, progranulin and C9ORF72. We will identify common underlying pathways as...

on Mar 1

From umassmed.edu

What if It Didn’t Happen: Data Management and Avoiding Research Misconduct

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As research misconduct has created reproducibility and researcher reputation concerns, there is an opportunity to recommend data management techniques to assist researchers as they seek to prevent these issues. Also central to the discussion are issues of power in the conduct of research,...

on Dec 21

From umassmed.edu

Conceptualizing Slow Curation

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The pressure to do things quickly is a constant in our professional lives as data curators. But what if we slowed down our work? Taking inspiration from the Slow Movement and its various sub-genres, we propose the idea of Slow Curation, specifically for the application of curating research data....

on Oct 13, 2023