Enhancing Learning Outcomes and Assessment Strategies
Explore strategies for building better program learning outcomes (PLOs) aligned with institutional goals. Understand the assessment cycle and steps for refining PLOs to improve student competencies. Learn to differentiate between undergraduate and graduate PLOs, assess alignment with program curriculum, and connect PLOs with institutional mission and core competencies.
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Presentation Transcript
Metadata Standards Catalog WG 1 24 September 2015- BREAKOUT 5 - 13:30 1) Review of Metadata Standards Directory (DCC version and GitHub) 2) Introduction of Metadata Standards Catalog 3) Metadata Standards Catalog Timeline and Assignment of Tasks Session objectives are: Share current status of Metadata Standards Directory Overview of Metadata Standards Catalog Create timeline for milestones and assign tasks to achieve those milestones
2 Metadata Standards Catalog Working Group Alex Ball, Keith Jeffery and Rebecca Koskela
Agenda 3 History Vision
History 4 MSCWG has been proposed to RDA TAB as a new WG It springs from the experience of MSDWG
MSDWG Goals 5 Develop an RDA Metadata Standards Directory listing standards relevant for research data Comprehensive, collective effort Easy for anyone to contribute or update Development supported by use cases Develop a plan for long-term growth and maintenance of the directory
Steps 6 Starting point: Digital Curation Centre Disciplinary Metadata Survey to enhance the directory: http://bit.ly/1fToaqd See also C. I. Perez, The RDA s Metadata Standards Directory: Information gathering (Master s dissertation, University of North Carolina, Chapel Hill, 2013) Draft Use Cases Selection of GitHub for updates and additions http://rd-alliance.github.io/metadata-directory/ DataONE summer internship: http://www.dataone.org/internships By late 2013, added: 14 new standards, 4 new profiles/extensions, 13 new tools for working with metadata
Activities 7 Outreach: Federation of Earth Science Information Partners (ESIP), Summer Meeting 2013 (R. Koskela) CAMP-4-DATA at DC-2013, Lisbon (26 participants; 15 countries), Paper in Proceedings (Jan. 14) International Digital Curation Conference 2014, San Francisco (A. Ball) Presentation at COOPEUS Meeting, Brussels, June 2015 (R. Koskela) Presentation for DC-2015, September 2015 (A. Ball)
Developed Use Cases 8 Plenary 3 (Dublin): Tool developers Data custodians Journal editors, funders PURLs for standards Librarians Plenary 4 (Amsterdam): Geospatial engineering Materials science synchrotron data Humanities and Social Sciences Cultural heritage
MSDWG: Delivered Products 9 http://rd-alliance.github.io/metadata-directory/ Pages are generated from simple easy-to- edit text files. Maintainers can edit the pages directly. Anyone can fork the whole directory, make changes on their copy, and submit a pull request.
Whats Next 10 Proposed Metadata Standards Catalogue Working Group (MSCWG) Develop the Metadata Standards Directory into a Metadata Standards Catalogue Allow records to be added, searched and retrieved by API. Provide representations of records in machine- understandable form. Develop, with community, recommendations of which standard(s) should be used for which purpose. Provide information on elements defined by each standard, and the purpose they serve.
The Vision 12 To have a portal With end-user interface And API To a catalog of metadata standards Machine actionable as well as human readable All characterised in one metadata format able to convert to / from many existing metadata formats For search/retrieval to find appropriate standards And use them in data collection, validation, search, interoperability
MSCWG In Context: Metadata Groups Position in RDA 13 A major goal of RDA is sharing of research datasets. interoperability is required using computer systems to discover, contextualise, select, access, transmit or process datasets. Interoperability a user accessing the world through a local / institutional / national portal sees not only local datasets and software but also all relevant datasets and software as if they were local. Achieved through metadata Characterising the objects (datasets, software, users, computing resources) techniques to match and map those descriptions generation of convertors for the underlying data instances. Interoperation among many metadata models preserves the richness of the original schemes uses techniques to establish relationships between attributes in the different schemes (matching and mapping).
