The Dat Project, an open and decentralized research data tool

Robinson, Danielle C.; Hand, Joe A.; Madsen, Mathias Buus; McKelvey, Karissa

doi:10.1038/sdata.2018.221

Cited by 13 publications

(12 citation statements)

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“…The proposed design for decentralized, verified, provenance based modular communication on the Dat protocol fulfills a wide conceptualization of the functions of a scholarly communications system from library and information sciences (Roosendaal and Geurts 1998;Sompel et al 2004). Due to more modular and continuous communication, it is more difficult to selectively register results when the preceding steps have publicly been registered already.…”

Section: Discussionmentioning

confidence: 99%

“…Chapter 9 extends this new form of scholarly communication in its technical foundations and contextualizes it in the library-and information sciences (LIS). From LIS, five key functions of a scholarly communication system emerge: registration, certification, preservation, awareness, and incentives (Roosendaal and Geurts 1998;Sompel et al 2004). First, I extend how the article-based scholarly communication system takes a narrow and unsatisfactory approach to the five functions.…”

Section: Prologuementioning

confidence: 90%

“…A continuous and network based communication system could take a wider interpretation of the scholarly functions it is supposed to serve (Roosendaal and Geurts 1998;Sompel et al 2004). Registration would become more complete, because selective publication based on results is preempted by embedding com-munication before any results are known.…”

Section: Network Structurementioning

confidence: 99%

“…The Dat protocol (dat://) is a peer-to-peer protocol, with persistent public keys per filesystem (see also https://perma.cc/FX7M-H85Y; Ogden 2017; Robinson et al 2018). Each filesystem is a folder that lives on the Dat network.…”

Section: Dat Protocolmentioning

confidence: 99%

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Contributions towards understanding and building sustainable science

Hartgerink¹

2019

Preprint

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This dissertation focuses on either understanding and detecting threats to the epistemology of science (chapters 1-6) or making practical advances to remedy epistemological threats (chapters 7-9). A digital version of this dissertation is available at https://phd.chjh.nlChapter 1 reviews the literature on responsible conduct of research, questionable research practices, and research misconduct. Chapter 2 reanalyzes Head et al (2015) their claims about widespread p-hacking for robustness. Chapter 3 examines 258,050 test results across 30,710 articles from eight high impact journals to investigate the existence of a peculiar prevalence of $p$-values just below .05 (i.e., a bump) in the psychological literature, and a potential increase thereof over time. Chapter 4 examines evidence for false negatives in nonsignificant results throughout psychology, gender effects, and the Reproducibility Project: Psychology. Chapter 5 describes a dataset that is the result of content mining 167,318 published articles for statistical test results reported according to the standards prescribed by the American Psychological Association (APA). In Chapter 6, I test the validity of statistical methods to detect fabricated data in two studies. Chapter 7 tackles the issue of data extraction from figures in scholarly publications. In Chapter 8 I argue that "after-the-fact" research papers do not help alleviate issues of access, selective publication, and reproducibility, but actually cause some of these threats because the chronology of the research cycle is lost in a research paper. I propose to give up the academic paper and propose a digitally native "as-you-go" alternative. In Chapter 9 I propose a technical design for this.

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Section: Discussionmentioning

confidence: 99%

Section: Prologuementioning

confidence: 90%

Section: Network Structurementioning

confidence: 99%

Section: Dat Protocolmentioning

confidence: 99%

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Contributions towards understanding and building sustainable science

Hartgerink¹

2019

Preprint

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“…Open data – data that can be freely used, reused and redistributed by anyone – is driven by the digitization of information into an easily sharable form. While the technical aspects of this process have improved dramatically over the past decade 1–3 , many scientific fields have yet to establish an open data standard 4 . This lack of consensus has been particularly troubling for the systematics community, which increasingly relies on digital imaging techniques like X-ray computed tomography (CT) and magnetic resonance imaging (MRI) to visualize and compare biological forms (Fig.…”

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confidence: 99%

Psychology, not technology, is our biggest challenge to open digital morphology data

Hipsley

Sherratt

2019

Sci Data

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The past two decades have seen a revolution in digital imaging techniques for capturing gross morphology, offering an unprecedented volume of data for biological research. Despite the rapid increase in scientific publications incorporating those images, the underlying datasets remain largely inaccessible. As the technical barriers to data sharing continue to fall, we face a more intimate, and perhaps more complicated, obstacle to open data – the one in our minds.

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Archiving website‐based references in academic papers: Problems caused by reference rot, potential solutions and limitations

Silva

Nazarovets

2023

Learned Publishing

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Key points Web‐based references form an integral part of academic culture and literature, as well as scientific communication. The preservation of web‐based references that are cited in‐text or in reference lists of academic papers is essential to ensure the integrity of knowledge preservation. When access or links to web‐based resources and references disappear, or if they are dysfunctional, these phenomena are collectively referred to as reference rot. Even though reference rot degrades the integrity of information in academic papers, no industry‐wide solutions currently exist. Given its prominence, we propose the Internet Archive as a possible solution to address reference rot, but also note its weaknesses and limitations.

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The Dat Project, an open and decentralized research data tool

Cited by 13 publications

References 14 publications

Contributions towards understanding and building sustainable science

Contributions towards understanding and building sustainable science

Psychology, not technology, is our biggest challenge to open digital morphology data

Archiving website‐based references in academic papers: Problems caused by reference rot, potential solutions and limitations

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