Generalist Repository Comparison Chart

Stall, Shelley; Martone, Maryann E.; Chandramouliswaran, Ishwar; Crosas, Mercè; Federer, Lisa; Gautier, Julian; Hahnel, Mark; Larkin, Jennie E.; Lowenberg, Daniella; Pfeiffer, Nicole; Sim, Ida; Smith, T. J.; Gulick, Ana E. Van; Walker, Erin; Wood, Julie; Zaringhalam, Maryam; Zigoni, Alberto

doi:10.5281/zenodo.3946720

Cited by 7 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As cloud storage capacity grows each year, there are many opportunities for free storage of large research datasets. For example, there is no storage limit at the OSF repository and a 50 GB limit per dataset at Zenodo [ 22 ]. In rare cases in which datasets exceed these limitations, dataset managers can bundle smaller datasets for easier upload and downstream data reuse [ 41 ].…”

Section: Knowledge Barriersmentioning

confidence: 99%

Why don't we share data and code? Perceived barriers and benefits to public archiving practices

et al. 2022

View full text Add to dashboard Cite

The biological sciences community is increasingly recognizing the value of open, reproducible and transparent research practices for science and society at large. Despite this recognition, many researchers fail to share their data and code publicly. This pattern may arise from knowledge barriers about how to archive data and code, concerns about its reuse, and misaligned career incentives. Here, we define, categorize and discuss barriers to data and code sharing that are relevant to many research fields. We explore how real and perceived barriers might be overcome or reframed in the light of the benefits relative to costs. By elucidating these barriers and the contexts in which they arise, we can take steps to mitigate them and align our actions with the goals of open science, both as individual scientists and as a scientific community.

show abstract

Section: Knowledge Barriersmentioning

confidence: 99%

Why don't we share data and code? Perceived barriers and benefits to public archiving practices

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The g eoscience community champions the FAIR cause by creating and contributing to data repositories, which are an online open access research repository to store research outputs and artefacts. For example, the domain specific resource dedicated to register marine and climate scientific data accessible via the Australian Ocean Data Network Portal  , or generalist repositories like Figshare, Zenodo, Dryad or Mendeley [17]. There are also activities that upskill geoscientists in FAIR practice (e.g.…”

Section: Metad Ata-a Crucial Element In a Fair Sdimentioning

confidence: 99%

FAIR data and metadata: GNSS precise positioning user perspective

Ivánová

Keenan²,

Marshall³

et al. 2023

Data Intelligence

View full text Add to dashboard Cite

The FAIR principles of Wilkinson et al. [1] are finding their way from research into application domains, one of which is the precise positioning with global satellite navigation systems (GNSS). Current GNSS users demand that data and services are findable online, accessible via open protocols (by both, machines and humans), interoperable with their legacy systems and reusable in various settings. Comprehensive metadata are essential in seamless communication between GNSS data and service providers and their users, and, for decades, geodetic and geospatial standards are efficiently implemented to support this. However, GNSS user community is transforming from precise positioning by highly specialised use by geodetic professionals to every-day precise positioning by autonomous vehicles or wellness obsessed citizens. Moreover, rapid technological developments allow alternative ways of offering data and services to their users. These transforming circumstances warrant a review whether metadata defined in generic geospatial and geodetic standards in use still support FAIR use of modern GNSS data and services across its novel user spectrum. This paper reports the results of current GNSS users' requirements in various application sectors on the way data, metadata and services are provided. We engaged with GNSS stakeholders to validate our findings and to gain understanding on their perception of the FAIR principles. Our results confirm that offering FAIR GNSS data and services is fundamental, but for a confident use of these, there is a need to review the way metadata are offered to the community. Defining standard compliant GNSS community metadata profile and providing relevant metadata with data on-demand, the approach outlined in this paper, is a way to manage current GNSS users' expectations and the way to improve FAIR GNSS data and service delivery for both humans and the machines.

show abstract

“…Because studies increasingly cover multiple data types (as well as multiple types of omics data, such as both proteomics and transcriptomics), the sundry data sets may be appropriate for generalist repositories . A 2020 NIH workshop produced a table comparing these generalist data repositories …”

Section: Linking Datamentioning

confidence: 99%

A Second Look at FAIR in Proteomic Investigations

Caufield

Wang

et al. 2021

J. Proteome Res.

View full text Add to dashboard Cite

Proteomics is, by definition, comprehensive and large-scale, seeking to unravel ome-level protein features with phenotypic information on an entire system, an organ, cells, or organisms. This scope consistently involves and extends beyond single experiments. Multitudinous resources now exist to assist in making the results of proteomics experiments more findable, accessible, interoperable, and reusable (FAIR), yet many tools are awaiting to be adopted by our community. Here we highlight strategies for expanding the impact of proteomics data beyond single studies. We show how linking specific terminologies, identifiers, and text (words) can unify individual data points across a wide spectrum of studies and, more importantly, how this approach may potentially reveal novel relationships. In this effort, we explain how data sets and methods can be rendered more linkable and how this maximizes their value. We also include a discussion on how data linking strategies benefit stakeholders across the proteomics community and beyond.

show abstract

Generalist Repository Comparison Chart

Cited by 7 publications

References 0 publications

Why don't we share data and code? Perceived barriers and benefits to public archiving practices

Why don't we share data and code? Perceived barriers and benefits to public archiving practices

FAIR data and metadata: GNSS precise positioning user perspective

A Second Look at FAIR in Proteomic Investigations

Contact Info

Product

Resources

About