Nine simple ways to make it easier to (re)use your data

White, Ethan; Baldridge, Elita; Brym, Zachary; Locey, Kenneth J; McGlinn, Daniel J.; Supp, Sarah R.

doi:10.4033/iee.2013.6b.6.f

Cited by 76 publications

(41 citation statements)

References 13 publications

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“…Clear metadata are essential for a researcher to understand how a data set was collected and processed, by whom, its format and structure, and its associated uncertainties (Jones et al 2006, Edwards et al 2011, White et al 2013). At the very least, scientists must learn to routinely generate metadata in easily accessed machine-readable formats.…”

Section: Key Skills For the Data-intensive Environmental Scientistmentioning

confidence: 99%

Skills and Knowledge for Data-Intensive Environmental Research

Hampton¹,

Jones²,

Wasser³

et al. 2017

BioScience

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The scale and magnitude of complex and pressing environmental issues lend urgency to the need for integrative and reproducible analysis and synthesis, facilitated by data-intensive research approaches. However, the recent pace of technological change has been such that appropriate skills to accomplish data-intensive research are lacking among environmental scientists, who more than ever need greater access to training and mentorship in computational skills. Here, we provide a roadmap for raising data competencies of current and next-generation environmental researchers by describing the concepts and skills needed for effectively engaging with the heterogeneous, distributed, and rapidly growing volumes of available data. We articulate five key skills: (1) data management and processing, (2) analysis, (3) software skills for science, (4) visualization, and (5) communication methods for collaboration and dissemination. We provide an overview of the current suite of training initiatives available to environmental scientists and models for closing the skill-transfer gap.

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Section: Key Skills For the Data-intensive Environmental Scientistmentioning

confidence: 99%

Skills and Knowledge for Data-Intensive Environmental Research

Hampton¹,

Jones²,

Wasser³

et al. 2017

BioScience

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“…Our story is only one potential path because there are many ways to upgrade scientific practiceswhether collaborating only with your 'future self ' or as a team-and they depend on the shared commitment of individuals, institutions and publishers 6,16,17 . We do not review the important, ongoing work regarding data management architecture and archiving 8,18 , work flows 11,[19][20][21] , sharing and publishing data [22][23][24][25] and code [25][26][27] , or how to tackle reproducibility and openness in science [28][29][30][31][32] . Instead, we focus on our experience, because it required changing the way we had always worked, which was extraordinarily intimidating.…”

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confidence: 99%

Our path to better science in less time using open data science tools

Best²,

et al. 2017

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“…Much has already been written about the methods and needs for open data publication [3,17,50]. Beyond the good intentions, Invasivesnet is a developing global association for open knowledge and open data on alien species [51].…”

Section: Increase Data Availabilitymentioning

confidence: 99%

“…(iv) How should data be permanently preserved? Researchers new to writing a DMP should refer to their institutional and funding agency guidelines if any, and, with respect to invasive species data, recommendations for ecologists [6,17].…”

Section: Create Data Management Plansmentioning

confidence: 99%

Seven Recommendations to Make Your Invasive Alien Species Data More Useful

Groom

Adriaens

Desmet

et al. 2017

Front. Appl. Math. Stat.

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Science-based strategies to tackle biological invasions depend on recent, accurate, well-documented, standardized and openly accessible information on alien species. Currently and historically, biodiversity data are scattered in numerous disconnected data silos that lack interoperability. The situation is no different for alien species data, and this obstructs efficient retrieval, combination, and use of these kinds of information for research and policy-making. Standardization and interoperability are particularly important as many alien species related research and policy activities require pooling data. We describe seven ways that data on alien species can be made more accessible and useful, based on the results of a European Cooperation in Science and Technology (COST) workshop: (1) Create data management plans; (2) Increase interoperability of information sources; (3) Document data through metadata; (4) Format data using existing standards; (5) Adopt controlled vocabularies; (6) Increase data availability; and (7) Ensure long-term data preservation. We identify four properties specific and integral to alien species data (species status, introduction pathway, degree of establishment, and impact mechanism) that are either missing from existing data standards or lack a recommended Groom et al.Making Alien Species Data Useful controlled vocabulary. Improved access to accurate, real-time and historical data will repay the long-term investment in data management infrastructure, by providing more accurate, timely and realistic assessments and analyses. If we improve core biodiversity data standards by developing their relevance to alien species, it will allow the automation of common activities regarding data processing in support of environmental policy. Furthermore, we call for considerable effort to maintain, update, standardize, archive, and aggregate datasets, to ensure proper valorization of alien species data and information before they become obsolete or lost.

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Nine simple ways to make it easier to (re)use your data

Cited by 76 publications

References 13 publications

Skills and Knowledge for Data-Intensive Environmental Research

Skills and Knowledge for Data-Intensive Environmental Research

Our path to better science in less time using open data science tools

Seven Recommendations to Make Your Invasive Alien Species Data More Useful

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