2 Discovery and Acquisition of Data1.pptx

Editor's Notes

1. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Please cite this work as “Whitmire, Amanda L. (2014). Research Data Management Curriculum, Lecture 15: Plan for Archiving and Preservation of Data. Oregon State University Libraries. Retrieved [date] from: http://guides.library.oregonstate.edu/grad521lectures.” Slides attributed to the UKDA have the following citation: “Research Data Management Team, UK Data Archive, University Of Essex (2012). Managing and Sharing Data: Training Resources. UK Data Service. Retrieved 29 May, 2012 from: http://data-archive.ac.uk/media/335419/trainingresources.zip.” Slides attributed to the DCC have the following citation: “Whyte, A. & Wilson, A. (2010). "How to Appraise and Select Research Data for Curation". DCC How-to Guides. Edinburgh: Digital Curation Centre. http://www.dcc.ac.uk/resources/how-guides.“ Slides attributed to DataONE have the following citation: “DataONE Education Module: Protecting Your Data: Backups, Archives, and Data Preservation. DataONE. Retrieved Jan. 5, 2014. From http://www.dataone.org/sites/all/documents/L06_DataProtectionBackups.pptx.”
2. Image credit: Surveying by Luis Prado from The Noun Project
3. “All journals with either integrated data submission or sponsored Data Publishing Charges are listed below. Our institutional sponsors fund submissions by their affiliated researchers. Note that for large data packages, submitters will be asked to pay an additional $15 for the first GB beyond 10GB and $10 for each GB thereafter.” I counted on 2/19/2014, and there were 64 journals listed as being integrated and/or sponsored entities. “$80 per data package, payable by the submitter”
4. About figshare: free unlimited storage take files of any format all items receive DOIs all content is CC0 (data) or CC-BY (other stuff) reciprocal linking with PLOS, Nature, Faculty of 1000, more… metadata: no rules or constraints (can of worms…)
5. Content under the “Health Sciences” category: formal datasets, posters, a blog post (?!), a citizen science dataset, PowerPoint presentation, etc.
6. We have completely or partially indexed the following: Dryad EarthChem Portal from The Interdisciplinary Earth Data Alliance (IEDA) : Geochemistry of Rocks of the Oceans and Continents (GEOROC) MetPetDB The North American Volcanic and Intrusive Rock Database (NAVDAT) PetDB U.S. Geological Survey (USGS) Mineral Resources National Geochemical Database (MR NGDB) Harvard Dataverse The Inter-university Consortium for Political and Social Research (ICPSR) Mendeley Data NeuroElectro PANGAEA ThermoML - Thermodynamic Research Center (TRC) at the National Institute of Standards and Technology (NIST) Metadata from: 4TU.Centre of Research Data Apollo - University of Cambridge DataSpace - Princeton University DSpace - University of Washington LSHTM Data Compass - London School of Hygiene & Tropical Medicine Médecins Sans Frontières (MSF) Smithsonian Zenodo Tables, figures and supplementary data associated with papers from: arXiv ScienceDirect
7. What is a data paper? http://guides.library.oregonstate.edu/data-management-data-papers-journals “Data papers facilitate the sharing of data in a standardized framework that provides value, impact, and recognition for authors. Data papers also provide much more thorough context and description than datasets that are simply deposited to a repository (which may have very minimal metadata requirements).” “Data papers thoroughly describe datasets, and do not usually include any interpretation or discussion (an exception may be discussion of different methods to collect the data, e.g.).” Earth System Science Data (ESSD) is an international, interdisciplinary journal for the publication of articles on original research data(sets), furthering the reuse of high (reference) quality data of benefit to Earth System Sciences. The editors encourage submissions on original data or data collections which are of sufficient quality and potential impact to contribute to these aims.
8. Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and a warded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. broad range of geoscience disciplines, including, but not limited to: Weather and Climate; Oceanography; Atmospheric and Ocean Chemistry; Cryosphere; Biosphere, Land Surface and Geology, Hydrology, Geochemistry, Geophysics, Planetary and Space Sciences.
9. Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data
10. Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data. broad range of natural science disciplines, including, but not limited to, data from the life, biomedical and environmental science
11. The Journal of Open Psychology Data (JOPD) features peer reviewed data papers describing psychology datasets with high reuse potential. Data papers may describe data from unpublished work, including replication research, or from papers published previously in a traditional journal. Any kind of psychology data is acceptable, including from correlational, descriptive and experimental research, e.g. case studies, computer simulations, experimental results, interviews and surveys, neuroimaging data, etc.
12. geoscientific model descriptions, from statistical models to box models to GCMs; new parameterizations or technical aspects of running models such as the reproducibility of results; new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; model experiment descriptions, including experimental details and project protocols; full evaluations of previously published models.
13. Vorbild war die Kooperation von Pangaea und Elsevier - fachlicher Schwerpunkt: 80% Nawi, 18% Sowi, 2% Geisteswiss.
14. - Kategorien sind hierarchisch zu verstehen: Repositorien beinhalten Datenstudien, Datenstudien beinhalten Datensätze [??] - reine Publikationsserver von Institutionen werden nicht aufgenommen, ebenso keine Metadatenkataloge, die auf Daten verweisen, die woanders archiviert sind