Evidence map›Paper›PMID 25799293›Full record

ArticlePloS one2015

When data sharing gets close to 100%: what human paleogenetics can teach the open science movement.

Paolo Anagnostou, Marco Capocasa, Nicola Milia, Emanuele Sanna, Cinzia Battaggia, Daniela Luzi, Giovanni Destro Bisol

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Ethical Guidance in Human Paleogenomics: New and Ongoing Perspectives.Annual review of genomics and human genetics · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Opinion: To curate the molecular past, museums need a carefully considered set of best practices.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. Improving average ranking precision in user searches for biomedical research datasets.Database : the journal of biological databases and curation · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Paolo AnagnostouDipartimento di Biologia Ambientale, "Sapienza" Università di Roma, Rome, Italy; Istituto Italiano di Antropologia, Rome, Italy.
Marco CapocasaIstituto Italiano di Antropologia, Rome, Italy; Dipartimento Biologia e Biotecnologie "Charles Darwin", "Sapienza" Università di Roma, Rome, Italy.
Nicola MiliaDipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Cagliari, Italy.
Emanuele SannaDipartimento di Scienze della Vita e dell'Ambiente, Università di Cagliari, Cagliari, Italy.
Cinzia BattaggiaDipartimento di Biologia Ambientale, "Sapienza" Università di Roma, Rome, Italy.
Daniela LuziIstituto di Ricerche sulla Popolazione e le Politiche Sociali, Consiglio Nazionale delle Ricerche, Rome, Italy.
Giovanni Destro BisolDipartimento di Biologia Ambientale, "Sapienza" Università di Roma, Rome, Italy; Istituto Italiano di Antropologia, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes data sharing regarding mitochondrial, Y chromosomal and autosomal polymorphisms in a total of 162 papers on ancient human DNA published between 1988 and 2013. The estimated sharing rate was not far from totality (97.6% ± 2.1%) and substantially higher than observed in other fields of genetic research (evolutionary, medical and forensic genetics). Both a questionnaire-based survey and the examination of Journals' editorial policies suggest that this high sharing rate cannot be simply explained by the need to comply with stakeholders requests. Most data were made available through body text, but the use of primary databases increased in coincidence with the introduction of complete mitochondrial and next-generation sequencing methods. Our study highlights three important aspects. First, our results imply that researchers' awareness of the importance of openness and transparency for scientific progress may complement stakeholders' policies in achieving very high sharing rates. Second, widespread data sharing does not necessarily coincide with a prevalent use of practices which maximize data findability, accessibility, useability and preservation. A detailed look at the different ways in which data are released can be very useful to detect failures to adopt the best sharing modalities and understand how to correct them. Third and finally, the case of human paleogenetics tells us that a widespread awareness of the importance of Open Science may be important to build reliable scientific practices even in the presence of complex experimental challenges.

Indexed as

Information DisseminationPaleontologyScienceChromosomes, Human, YDNAHumansMitochondriaPolymorphism, GeneticPublicationsSurveys and QuestionnairesDNA

Identifiers

PMID25799293
PMCPMC4370607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.