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Record W1887301151 · doi:10.18438/b8861p

Researchers’ Attitudes and Behaviour to Data Archiving Policies and Practice is Typified by Low Awareness and Little Planning

2008· article· en· W1887301151 on OpenAlexvenueaboutno aff
Gaby Haddow

Bibliographic record

VenueEvidence Based Library and Information Practice · 2008
Typearticle
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Sampling frameSample (material)Data archivePublic relationsLibrary sciencePsychologyMedical educationPolitical scienceSociologyComputer scienceMedicineDatabase

Abstract

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A Review of: Perry, Carol Marie. “Archiving of Publicly Funded Research Data: A Survey of Canadian Researchers.” Government Information Quarterly 25 (2008): 133-48. Objective – To assess researchers’ attitudes and behaviours in relation to archiving research data and to determine researchers’ views about policies relating to data archiving. Design – Survey. Setting – Canadian universities. Subjects – Social sciences and humanities researchers from universities across Canada. Methods – A questionnaire comprising 15 questions was mailed to 175 researchers randomly sampled from a publicly available list of 5,821 individuals who had received grants and awards from the Social Sciences and Humanities Research Council of Canada (SSHRC). From this sample, 75 (43.4%) responded within the five week time-frame stipulated. The questionnaire was constructed using four existing surveys and asked researchers for information about: geographical location, years of research experience, research funding sources, current plans to archive research data, awareness of archiving policies, attitude to mandated research data archiving, effect of mandatory data archiving policies on grant-seeking, attitude to making archived research data accessible, and use of research data collected by others. The questionnaire also included space for respondents to make comments. Responses to each question were analyzed, followed by a series of cross-analyses to investigate associations between findings. These cross-analyses include: whether attitudes to making data accessible differed according to length of experience, support for a national archive initiative, or agreement with a mandatory policy; and whether plans to archive research data were associated with awareness of policy, agreement with mandatory policy, or funding from government agencies other than SSHRC. Some cross-analyses were conducted between responses to questions and the comments provided by respondents. Most of the questionnaire responses were analyzed as percentages in two categories only. For example, length of service responses were presented as “up to 20 years” and “more than 20 years,” and for responses relating to agreement with mandatory archiving “no” and “undecided” responses were combined into one category and compared with “yes” responses. Main Results Plans to archive research data Only 41.3% of the respondent sample had current plans to archive their research data; plans that included filing materials in their office and destroying materials. A small proportion of this group (18.7%) planned to archive their research data in an established repository. Respondents who planned to archive their research data were more likely to have received funding from other government agencies (64.7%) than respondents who had not received other government funding (23.5%). Examination of the comments made by respondents indicated those who planned to archive their data were more likely to make comments on this issue. Knowledge of data archiving policies Respondents’ awareness of data archiving policies, particularly that of the SSHRC, an Organisation for Economic Co-operation and Development (OECD) declaration, and that of their own university, was low. Less than a third of the sample (28%) was aware of the SSHRC policy and less than 10% of the OECD declaration or their own university’s policy. A sizeable proportion of the sample (65.4%) stated they were “uncertain” whether their university had a data archiving policy. Of the respondents who planned to archive their data only 42.4% were aware of the SSHRC policy, and a high percentage of respondents with no plans to archive their data (83.3%) were also unaware of this policy. When asked if they agreed with a mandatory policy of data archiving being linked to grant funding the sample group was almost evenly split into agree (33.3%), don’t agree (28%), and uncertain (36%). Only 46.9% of the sample who planned to archive their data agreed with the policy. Support for data archives There was strong support for a data archive at the home institution by respondents who agreed with mandatory archiving of research data (84%). However, when asked about allowing public access to this data the results were evenly divided across most of the sample group (66 respondents). Full open access to data was supported by 44% of this group and 44% thought access should be at the discretion of the depositing researcher. Agreement with open access to data was also associated with researchers who agreed with mandatory archiving policy (70.8%) and researchers with over 20 years experience (68%). The enforcement of a mandatory archiving policy would not alter most respondents’ future grant-seeking behaviour (86.7%). Support for a national data archive was solid across the sample group, with only 17.3% indicating they did not support an initiative of this type. Almost all respondents who agreed with public access to research data supported a national data archive (96.5%) and of the respondents who did not support a national archive 90.9% were undecided about data access or wanted restrictions in place. When asked about use of research data collected by others, 48% had used such data in the past and 49.3% had not analyzed research data collected by others. Conclusion – While support for a national data archives strategy is strong, researchers’ attitudes and behaviour towards data archiving is less supportive and their plans to archive research data would not, in most cases, meet standards of archiving practice. The notion of open access to research data has less support, with researchers noting barriers relating to confidentiality, ethics, effect on academic career, and cost of archiving. Funding of data archiving raises particular concerns and the author recommends that SSHRC policy is clarified in this regard. Further, the author notes that differences between institutional requirements and national policies relating to research data require attention so that archiving policy objectives are coordinated. The decisions made in moving towards a national data archiving policy will enable Canada to contribute to the wider international discussion of standards for research data archives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.111
metaresearch head score (Gemma)0.315
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Open science
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.585

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1110.315
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0080.014
Scholarly communication0.0090.007
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.188
GPT teacher head0.411
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainReproducibility
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2008
Admission routes2
Has abstractyes

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