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56:25 Australian Research Data Commons (ARDC) English 2015

Costs and Benefits of Data Provision

In 2011, ANDS commissioned a study to examine the costs and benefits of public sector organisations making their Public Sector Information (PSI) data freely available. The study was undertaken by Prof John Houghton, a prominent economist and researcher in the 'open access' field. It involved a number of public sector agencies, each suggesting different benefit:cost ratios. Overall, the study demonstrated that the benefits of making PSI data freely available far outweigh any costs, by some considerable margins. In late 2014, ANDS commissioned a follow-up report to estimate the total public spend on research, the value of the data created and analysed during the research process, and evaluate the benefits of curating and openly sharing public research data. This webinar explores the findings of these two reports.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
52:56 Australian Research Data Commons (ARDC) English 2016

International Data Week - What Happened in Denver?

This Webinar reports back on the International Data Week (Denver, USA, 11-17 September 2016) with a particular focus on the eighth Plenary of the Research Data Alliance (RDA), which took place from 15-17 September 2016 as part of International Data Week. The Plenary brings together more than 400 RDA members for a week of working together in groups to further international issues around data sharing. RDA members present newly released outputs and how existing outputs, e.g. from the Data Citation Working Group, have been adopted in other organisations. Speakers: Several Australian attendees present their impressions and take-away messages from the Plenary, highlighting individual sessions, new adoptable outputs created by RDA groups, and other aspects of interest to people interested in the RDA.
  • Published: 2016
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
44:10 Australian Research Data Commons (ARDC) English 2014

RD Alliance - Creating the culture and technology for an international data infrastructure

Mark Parsons is the Secretary General of the Research Data Alliance All of society’s grand challenges require diverse (often large) data to be shared and integrated across cultures, scales, and technologies. Indeed data sharing, and the infrastructure that enables it, is fundamental to innovation in the 21st century. But creating that new international data infrastructure is a grand challenge in its own right. History has shown that infrastructure is never truly planned or designed up front. It evolves through a staged process that can involve complex dynamics, unanticipated consequences, and significant friction between individuals, organizations, and systems. Collaborators may agree on general directions or principles, but they do not necessarily have common goals. Coalition style politics emerge that can both ameliorate and exacerbate the friction, but it is through this multifaceted perspective that we achieve greater understanding. The Research Data Alliance (RDA) embraces this complex dynamic. It has no specific plan or architecture, but it provides core principles and a “neutral place” that provide enough alignment to move forward while still recognizing the value of friction. The focus is on building and implementing bridges or gateways that connect disparate systems, organizations, and processes in order to create more interconnection and increase data sharing. The RDA is an international member organisation, currently supported by the European Commission and the Australian and United States governments. It is less than two years old but has already made significant advances in bringing the community together, identifying key issues to address, and even delivering the initial products that help bridge across cultures and systems. This talk will review the approach, operations, and products of the RDA and how they are advance us toward creating a global data infrastructure. How government agencies can enhance the adoption of RDA products and accelerate infrastructure development will be emphasized. Bio: Before being appointed Secretary General of the Research Data Alliance, Mark was the Managing Director of the US Component of the Research Data Alliance and the Rensselaer Center for the Digital Society. He focuses on stewarding research data and making them more accessible and useful across different ways of knowing. He has been leading major data stewardship efforts for more than 20 years, and received the American Geophysical Union Charles S. Falkenberg Award as an advocate of robust data stewardship as a vital component of Earth system science and as an important profession in its own right. Prior to joining Rensselaer, Mark was a Senior Associate Scientist and the Lead Project Manager at the National Snow and Ice Data Center (NSIDC). While at NSIDC, he defined and implemented their overall data management process and led the data management effort for the ICSU/WMO International Polar Year 2007-2008. He is currently active in several international committees while helping lead the Research Data Alliance in its goal of accelerating innovation through data exchange. His research interests include the role of scientific social interaction in the success, development, and extension of data sharing networks.
  • Published: 2014
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
20:12 Australian Research Data Commons (ARDC) English 2015

RD-Switchboard: find connections to your data

In this webinar, Dr. Amir Aryani (ANDS) gives a brief presentation on this collaborative project, and answer the question: "how can universities discover their datasets or connections to works by their researchers without manually searching in Google?" What is the Research Data Switchboard? This webinar describes Research Data Switchboard (RD-Switchboard) which addresses the problem of cross platform discovery by operating online services that connect datasets across multiple registries. RD-Switchboard is a collaborative project by ANDS and number of other international partners in the Research Data Alliance Driven by the rapid development of data storage technology, the number of research data repositories is growing fast and researchers more than ever have access to a range of data repositories including university data storage, discipline specific repositories and national (regional) level data infrastructures. The problem is that these infrastructures are often operating in silos; that is, they cannot connect their datasets to the related research or datasets in other platforms.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
24:42 Australian Research Data Commons (ARDC) English 2015

Reporting on Research Data Alliance Digital Humanities Outreach Efforts

The Research Data Alliance (RDA) is a global initiative with over 2,800 members from more than 100 countries that aims to build the social and technical bridges that enable open sharing of data.The RDA vision is researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society. Bridget will report on two recent RDA humanities outreach efforts: 1) a 28 May workshop hosted by RDA-US at Johns Hopkins University in Baltimore, MD, USA 2) a 2 July 2015 meetup at DH 2015 in Sydney.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
08:26 Australian Research Data Commons (ARDC) English 2015

Research Grant Data in the Griffith University Research Hub

Jan Hettenhausen presents Case study: Griffith University’s use of the API to pull in grant records from RDA for Griffith researchers to cover the period where the researchers were not at Griffith. Explore the new Research Data Australia Grants and Projects portal Research Data Australia aggregates: 1. research grant information supplied by multiple funders - currently ARC and NHMRC 2. research project information supplied by some of our data contributors.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
55:02 Australian Research Data Commons (ARDC) English 2015

Sharing scientific data: Astronomy as a case study for a change in paradigm

Open data/open science is currently a hot topic. Astronomy has been at the forefront for the sharing of data. Françoise Genova explains how astronomical data resources have been networked and then integrated globally through the astronomical Virtual Observatory (VO). The VO aims at enabling seamless access to the wealth of available on-line resources through a framework of interoperability standards and of interoperable tools. The International Virtual Observatory Alliance was set up in 2002 to coordinate VO activities world-wide and to manage the standardisation process. This will be of interest to: -- data creators & managers as there are lessons learned from the Astronomy experience -- Librarians Data is available and used by the community in its daily research work. Lessons learnt in building the astronomical data infrastructure are contributed to the Research Data Alliance (RDA). Françoise Genova has extensive experience in managing astronomical data: -- director of the Strasbourg astronomical data centre CDS (1995 to 2015) -- one of the founding parents of the astronomical Virtual Observatory project -- coordinator of several European projects dealing with the European Virtual Observatory -- member of the High Level Expert Group on Scientific Data (European Commission) -- one author of "Riding the wave" report (2010) and of its follow-up "Data Harvest" -- member of WDS Scientific Committee (2009-2012) and CODATA Executive Committee (2010-2012). She currently leads the "Data Access, Discovery and Interoperability" Work Package of the European ASTERICS astronomy Cluster, which aims at optimizing the usage of the data from the astronomical large projects through the Virtual Observatory. She is an active member of the RDA, in particular as member of the RDA Technical Advisory Board, and of the RDA Europe projects. She will be a member of the Data Seal of Approval Board starting 1 January 2016.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
09:04 Australian Research Data Commons (ARDC) English 2015

Trove Support - RDA Grants and Projects Portal Webinar

Julia Hickie talks about Trove National Library of Australia - services efforts to assist the research community to bring together the work of a researcher over their lifetime. Explore the new Research Data Australia Grants and Projects portal Research Data Australia aggregates: 1. research grant information supplied by multiple funders - currently ARC and NHMRC 2. research project information supplied by some of our data contributors.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
33:26 Australian Research Data Commons (ARDC) English 2014

PLoS, ORCiD and Article Level Metrics

Dr Virginia Barbour discusses the new PLOS data policy, the introduction of ORCID Identifiers to the people records in the PLOS manuscript submission system, and the development of PLOS article level metrics to measure the impact of research. 3rd July 2014.
  • Published: 2014
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
56:31 Australian Research Data Commons (ARDC) English 2016

Using Neo4j for exploring the research graph connections made by RD-Switchboard

Jingbo Wang (NCI) and Amir Aryani (ANDS) present the Neo4j queries that can help data managers to explore the connections between datasets, researchers, grants, and publications using the graph model and Research Data Switchboard. In addition, they discuss the recent paper on "Graph connections made by RD-Switchboard using NCI’s metadata", presented in the Reproducible Open Science workshop in Hannover earlier this month.
  • Published: 2016
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
03:03 Australian Research Data Commons (ARDC) English 2015

CSIRO ASKAP Science Data Archive (CASDA)

The CSIRO ASKAP Science Data Archive (CASDA) Project has been established to build and implement the archive at the Pawsey Centre and build the data transfer infrastructure required between MRO and Pawsey. The rates of data arriving at the Pawsey Centre are approximately 2.5 Gigabytes (GB) per second, equivalent to 75 Petabytes (PB) per year - hence the need for archiving. The best way to get a return on investment for this huge investment was to make the data open. Open data is crucial to getting the best science from your telescope - both original and derived science.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
00:37 Australian Research Data Commons (ARDC) English 2017

Synopsis - FAIR Accessible #2 - Data Accessibility Practice at NCI

Jingbo Wang Data Collections Manager at NCI presented on how they make data accessible through services over the data so they can be interrogated and used by humans and machines.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
20:25 Australian Research Data Commons (ARDC) English 2013

Big Spatial Data seminar Part 1: Analythics in the Age of Big Data

Big Spatial Data seminar - University of Alabama - July 25th 2013. Rahul discusses their NASA ACCESS funded online tool: Curated Data Albums, an online tool for gathering and presenting relevant data and information from distributed sources. These Data Albums are complied collections of information related to events with links to relevant data files (granular) from different instruments
  • Published: 2013
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
54:21 Australian Research Data Commons (ARDC) English 2017

Provenance and Social Science data - 15 Mar 2017

This is the first webinar in the “Making Data Social” webinar series, which will discuss data issues of specific interest to the Social Sciences Gives a brief introduction to data provenance and provenance standards +++ Data Documentation Initiative (DDI): A free, international standard for describing data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences. It can document and manage different stages in the research data lifecycle, eg conceptualization, collection, processing, distribution, discovery, and archiving. Documenting data with DDI facilitates understanding, interpretation, and use -- by people, software systems, and computer networks. +++ The C2Metadata Project is producing new tools that will work with common statistical packages (eg R and SPSS) to automate the capture of metadata describing variable transformations. Software-independent data transformation descriptions will be added to metadata in two internationally accepted standards: DDI and Ecological Markup Language (EML). These tools will create efficiencies and reduce the costs of data collection, preparation, and re-use. Of special interest to social sciences with its strong metadata standards and heavy reliance on statistical analysis software.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
19:19 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Interoperable #3 - I for Interoperable - OzNome - Interoperable data as an example of Fair data principles

#3 INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
26:04 Australian Research Data Commons (ARDC) English 2017

FAIR Reusable #4 - R for Reusable - 20-09-17

#4 REUSABLE covers: -- an overview of the REUSABLE principles which bring together licensing, provenance and domain-relevant standards -- resources to support institutional awareness and uptake of Interoperable principles Speakers 1) Keith Russell, ANDS provides an overview of the principles behind the FAIR concept of how to make data Re-usable 2) Margie Smith (unrecorded), Geoscience Australia discussed why Provenance information is critical to data reuse and how GA have approached attaching provenance information to data 3) Nerida Quatermass from Creative Commons Australia @QUT presents on licensing frameworks and choosing a licence to make the data more Re-usable
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
49:29 Australian Research Data Commons (ARDC) English 2014

Supporting Changes to the ARC Funding Rules

ARC representatives explain the recent changes to the funding rule as they pertain to data and data management. Followed by answering questions (listed below) from the audience. 14:15 Do you want to see a data management plan or the evidence of a data management plan? 16:48 What happens to the data management section in the assessment lifecycle? 21:25 Funding rules changes -- how does this work? What are the ramifications? 24:40 What sort of weighting does the data management information have? 25:09 Will you be giving assessors any instructions re data management in the "assessor's pack"? 27:15 The ARC in 2013 mandated publications being deposited in a repository, why didn't you mandate that data be deposited in the same (or similar) repositories? 30:11 What exactly do the panel mean by 'making data more accessible'? Is it actual access or through dissemination or.... 31:39 What about confidentiality and such issues? 32:27 It seems like they are using "data management" as if it means data dissemination. Can we get their definition of "data management"? 33:23 Is it appropriate to add any data management related costs (storage, curation, etc) to the project budget? 35:10 If you fail to follow your data management plan (and therefore are in breach of your ARC award), what happens? 37:30 Will the new assessors' handbook be released prior to DP/DECRA submissions closing? 38:09 Thank you for the discussion. The Funding Rules A10.3.2 say "The Final Report must address compliance with the ARC Open Access Policy as detailed at A11.5". A11.5 covers compliance with the Open Access Policy (11.5.1) and the obligation relating to research data and data management (11.5.2). Are we thinking that reporting specifically against Management of Data could form part of the Final Report in future? 39:18 How do you recommend that historians working from archival sources (already curated in libraries and other collections) put under data management? 41:48 Will curated data collections be counted as scholarly output for ARC and ERA purposes? 42:41 Would the ARC want to have some statement of verification about availability for reuse from data custodians, where data is not generated, but reused by researchers (in the context of historians using digital archives)?
  • Published: 2014
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
15:18 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Reusable #4 - R for Reusable: Creative Commons Australia @ QUT

Nerida Quatermass from Creative Commons Australia @QUT presents on licensing frameworks and choosing a license to make the data more Re-usable
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
32:08 Australian Research Data Commons (ARDC) English 2017

Meeting the most unmet need - Research Data Management Training

*In a recent survey of 704 principal investigators for National Science Foundation biology grants, the majority said their most important unmet data needs were not software or infrastructure, but training in data integration and data management. This webinar brings together different and exciting training models which focus on skills and knowledge all researchers need to manage, share and publish their data. All these models are available for adaptation and reuse by others. It covers: -- train the trainer: what issues need to be explored for those skilling up to train others in research data management? -- 3 different models which offer a range of mixed modal training delivery
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
35:40 Australian Research Data Commons (ARDC) English 2017

FAIR Findable #1 - Into to FAIR and F for Findable - 30-08-17

#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 FINDABLE principles which underpin the discoverability of data -- resources to support institutional awareness and uptake of Findable principles to make your institutional data globally discoverable
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
10:36 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Accessible #2 - A for Accessible III

David Fitzgerald, Data Manager for the Australian Longitudinal Study of Women’s Health (ALSWH) presents how ALSWH makes a nationally significant longitudinal study with highly sensitive data accessible for others to reuse. The FAIR data principles were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. This webinar series is a great opportunity to explore each of the 4 FAIR principles in depth - practical case studies from a range of disciplines and organisations from around Australia, and resources to support the uptake of FAIR principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
07:24 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Interoperable #3 - I for Interoperable - An introduction

#3 INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
14:32 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Accessible #2 - A for Accessible: Data Accessibility Practice at NCI

Jingbo Wang, Data Collections Manager at NCI presents on how they make data accessible through services over the data so they can be interrogated and used by humans and machines. The FAIR data principles were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. This webinar series is a great opportunity to explore each of the 4 FAIR principles in depth - practical case studies from a range of disciplines and organisations from around Australia, and resources to support the uptake of FAIR principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
19:33 Australian Research Data Commons (ARDC) English 2017

PiDs Short bites #4 - RAID, a PiD for projects - 2 Nov 2017

This webinar will cover: RAiD PID, issues surrounding Research Data Management planning and processes. Speakers - Dr Andrew Janke, Software Architect DLCF Project, RDS - Siobhann McCafferty, Project Manager, DLCF Project, AAF
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
03:59 Australian Research Data Commons (ARDC) English 2015

University of Wollongong: PetaJakarta

The PetaJakarta Data Sharing Project aims to promote national and international research collaboration through the sharing of data related to the response of the city of Jakarta to flooding during the 2014/2015 monsoon season. The two data collections released as part of the PetaJakarta Collaborative Data Sharing Project will form an in-valuable suite of open, well described and richly connected data relating infrastructure and social media use in the context of flooding Jakarta. The data are all connected by their relevance to flooding, spatial location and temporal extents. These data will represent a unique insight to researchers seeking to understand the response of mega-city infrastructure to flooding in a developing nations context where social media data offer a potential alternative to limited pre-existing formal flood data networks. It should be noted that the two data collections released by this Collaborative Data Sharing Project are complimented by existing external data-sets relevant for researchers in this area. These are principally, the collection of historical flood extents released by BPBD under the OpenStreetMap license, and the ongoing acquisition of topographic map data undertaken by the Humanitarian OpenStreetMap team, also released under an OpenStreetMap license. While the direct inclusion of these data in this Data Collection is outside the scope of this project, and the data included by this Data Collection Project are valuable independently of these external data, it is important to appreciate the availability of these external data, helping to support future research projects beyond the PetaJakarta programme. The pilot study for PetaJakarta, in conjunction with the Regional Disaster Management Agency (BPBD) of the local government in Jakarta (BPBD), will proceed for one year from May 1 2014. This joint study will evaluate the potential for an integrated suite of geosocial media and infrastructure data, collected by PetaJakarta, to augment BPBD’s existing information system to support decision-making during flood response. The pilot study is building on significant existing research undertaken and data collected by the Co-CIs, including the mapping of over 1000 Km of waterways and hydrological infrastructure in Jakarta, and the development of a web-based open source platform to collect social media activity related to flood events. During the 2014/2015 monsoon season the PetaJakarta team will work with BPBD and Twitter to collect spatial data on social media activity during flooding, and augment existing hydrological infrastructure records. These data will form the key deliverables for the ANDS support PetaJakarta Data Sharing Project.
  • Published: 2015
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
34:47 Australian Research Data Commons (ARDC) English 2017

PiDs Short bites #2 - Identifying and linking physical samples with data: using IGSN - 7 Jun 2017

This webinar: 1) introduced the IGSN, outlining its structure, use, application and availability for Australian researchers and research institutions 2) discussed the international symposium "Linking Environmental Data and Samples". Speakers: -- Dr Jens Klump, OCE Science Leader, Earth Science Informatics, CSIRO -- Dr Lesley Wyborn, Adjunct Fellow, National Computational Infrastructure Facility and Research School of Earth Sciences at ANU About IGSN Do you or your institution collect physical samples in the course of research? Are you interested in how you can reference these online using a world standard, globally unique persistent identifier scheme? The International Geo Sample Number (IGSN) is a unique identifier that preserves the identity of a sample even as it is moved from lab to lab and as data appear in different publications. It applies to any physical samples, not just samples from the earth. This webinar is the second in a series examining persistent identifiers and their use in research.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
38:52 Australian Research Data Commons (ARDC) English 2017

FAIR Accessible #2 - A for Accessible I - 06-09-17

The FAIR data principles were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. This webinar series is a great opportunity to explore each of the 4 FAIR principles in depth - practical case studies from a range of disciplines and organisations from around Australia, and resources to support the uptake of FAIR principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
05:55 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Reusable #4 - R for Reusable - An introduction

Keith Russell, ANDS provides an overview of the principles behind the FAIR concept of how to make data Reusable #4 REUSABLE covers: -- an overview of the REUSABLE principles which bring together licensing, provenance and domain-relevant standards -- resources to support institutional awareness and uptake of Interoperable principles
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
23:56 Australian Research Data Commons (ARDC) English 2017

PiDs Short bites #3 - Linking data and publications - the Scholix initiative - 21 Jun 2017

When a CSIRO dataset is mentioned in a journal article by a third party, how can CSIRO find out? How can the CSIRO scientist find out? When several journal articles have already been published using a dataset from the University of Melbourne, how can a prospective new user of that dataset find them? When a research facility’s data archive knows that one of its datasets underpins the conclusions of a journal article, how can the journal publisher’s site link to that dataset? These are the questions that Scholix, a new global initiative, is addressing. About Scholix This webinar provides an introduction and overview of the Scholix (SCHOlarly LInk eXchange) initiative: a high-level interoperability framework aimed at increasing and facilitating exchange of information about the links between data and scholarly literature, as well as between data. The framework is a global community and multi-stakeholder driven effort involving journal publishers, data centers, and global service providers. The framework is a global community and multi-stakeholder driven effort involving journal publishers, data centers, and global service providers. Speaker: Dr Adrian Burton, Director, Services, Australian National Data Service Of interest to anyone but especially: -- Research data managers -- Data librarians -- Data technologists -- Publishers and journal editors managing research data
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
15:40 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Findable #1 - Intro to FAIR and F for Findable II

  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
30:36 Australian Research Data Commons (ARDC) English 2017

FAIR Interoperable #3 - I for Interoperable - 13-09-17

Speakers Keith Russell, ANDS, will provide an overview of the key components of Interoperability 2) OzNome - Interoperable data as an example of Fair data principles Simon Cox, David Lemon, Jonathan Yu (CSIRO) will present on how they have made the research data in the OzNome project Interoperable, not only for humans, but also for machines #3 INTEROPERABLE covers: -- an overview of the 3 INTEROPERABLE principles which use vocabularies for knowledge representation, standardisation and references other metadata. -- resources to support institutional awareness and uptake of Interoperable principles. The FAIR data principles were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. This webinar series is a great opportunity to explore each of the 4 FAIR principles in depth - practical case studies from a range of disciplines and organisations from around Australia, and resources to support the uptake of FAIR principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
07:10 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Accessible #2 - A for Accessible II - Russell

Keith Russell, ANDS, provides an overview of the key components of accessibility. The FAIR data principles were drafted by the FORCE11 group in 2015. The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. This webinar series is a great opportunity to explore each of the 4 FAIR principles in depth - practical case studies from a range of disciplines and organisations from around Australia, and resources to support the uptake of FAIR principles.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
01:04 Australian Research Data Commons (ARDC) English 2017

Snippet - Documenting Data Transformations

A 1 min snippet where George outlines what he talks about in the full webinar: Provenance and Social Science data, on March 15th 2017.
  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
00:29 Australian Research Data Commons (ARDC) English 2017

Synopsis - FAIR Findable #1 - Finding paradisec

  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
15:22 Australian Research Data Commons (ARDC) English 2017

Snippet - FAIR Findable #1 - Into to FAIR and F for Findable I: Finding PARADISEC

  • Published: 2017
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
11:10 Australian Research Data Commons (ARDC) English 2013

Big Spatial Data seminar Part 2: Analythics in the Age of Big Data

Big Spatial Data seminar - University of Alabama - July 25th 2013. Automated Event Services: That utilize Big Data technologies to enable interactive and collaborative scientific data analysis on big data and to share data and analysis methods seamlessly, in order to: - Relieve scientists from data management, - Empower scientists to focus on science and - Boost science productivity
  • Published: 2013
  • Publisher: Australian Research Data Commons (ARDC)
  • Language: English
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