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Open data publishing and incentives/Susan Veldsman


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Presented during Uganda Open Data/Open Science National Dialogue 25-26 April 2018.

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Open data publishing and incentives/Susan Veldsman

  1. 1. OPEN DATA PUBLISHING AND INCENTIVES Presented by Susan Veldsman Director: Scholarly Publishing Programme Academy of Science of South Africa (ASSAf) Kampala Workshop, 25 April 2018
  2. 2. Open data has many recognizable benefits: • Enhance accountability of scientists for investment of public funds • Promote transparency of research and peer review • Improve reproducibility of research results and scrutiny • Speed up scientific discoveries and enable complex questions to be asked • Foster equity and capacity building on a global scale
  3. 3. Data sharing practices……. • Obligatory requirements – such as the deposition of data used in published articles to enhance replicability and verification • Advisory activities – data sharing as “good practice” to enhance transparency and re-use • Aspirational motivations – data sharing as a gesture of solidarity and public responsibility THEREFORE • Recognition that no “one size fits all” with data sharing practices • Reliance on “bottom up” development of data sharing practices • Requires individual and community buy-in in order to establish cultures of sharing
  4. 4. Embedding a commitment to sharing data • Appropriate policy • Suitable infrastructure • Effective training • Responsible data practices • Embedded data practices and cultures perpetuating responsible data values • Individual and communal value attribution, development of norms and practices = “buy-in” from scientists • Incentives
  5. 5. (Dis)incentives and “choices” for the individual scientists Personal research cycle: Generation of data and preliminary analysis ►Secondary analysis► Curation and storage► Dissemination (formal/informal), ► long-term storage or elimination ►Online identification and re-use Decision Responsibility for: WHAT data to share Producing accurate data WHERE to share Ensuring data are re-usable HOW to annotate Surveilling data of others WHEN to share Affording credit for use of others’ data
  6. 6. Hindering buy-in • IP, confidentiality, ownership • Issues relating to individual credit (scooping, misuse) • Confusing and conflicting requirements • Lack of time and expertise and resources • No one has asked me? Ferguson,2015.Why researchers share data.
  7. 7. Fostering buy-in • Motivated by community norms and commitment to advance research • Influenced by funders, publishers and institutional code of contact • Public benefit • Benefits associated with increased visibility of work To ends of the scale • Aspirational and community focused • Oriented to end products of research Ferguson,2015.Why researchers share data.
  8. 8. Recommendations for funders • All research funders data sharing policy - expectations for data accessibility; budget share for RDM • Funding support services, cf. funding publication costs • Invest in data infrastructure with rich context • Fund data sharing training for students and doctoral researchers • Target funding at reuse of existing data resources
  9. 9. Recommendations learned societies • Research recognition for data sharing and data publishing • Data sharing expectations for the disciplines, e.g. code of conduct. • Data sharing resources and standards for the research discipline.
  10. 10. Recommendations to research institutions • Data impact in PhD career assessment, e.g. impact portfolio, data CV • Integrated RDM support services (one-stop- shop) • Recognise and value data in research assessment and career advancement. • Data sharing training part of standard student research training
  11. 11. Recommendations to publishers • Boost direct career benefits of data sharing: • data citation • data sharing metrics • micro-citation • tools: DOIs, ORCID, digital watermarking • Publication of negative findings, failed experiments • Full datasets as supplementary material • All supplementary data openly available • (Open) standards for file formats and supplemental documentation
  12. 12. Thank you! Susan Veldsman