A presentation given at the RECODE workshop on 25th September 2014. It covers what is happening in terms of opening up access to research data at the University of Glasgow and via the Digital Curation Centre. The RECODE project is developing policy recommendations for open access to research data in Europe - http://recodeproject.eu
A presentation given at the RECODE workshop on 25th September 2014. It covers what is happening in terms of opening up access to research data at the University of Glasgow and via the Digital Curation Centre. The RECODE project is developing policy recommendations for open access to research data in Europe - http://recodeproject.eu
One of the finalists, eNGO - GRAAM, in the category 'Advocacy', is an initiative of Swami Vivekananda Youth Movement, that works towards advocating policy change.
Open access (OA) to research publications brings with it significant benefits for UK institutions, researchers and research funders.
After several years of concerted effort to implement OA following the Finch report in 2012, we have learned, and continue to learn, a great deal about what works well, and what works less well. In this workshop we’ll present examples of good practice to support implementation from our nine pathfinder projects.
Jarkko Siren is Project Officer in DG Communications Networks, Content and Technology at the European Commission.
Jarkko's presentation gives an introduction to public engagement in research at the European Commission
Presented by Peter Burnhill, Director of EDINA, at PARSE.insight workshop on Preservation, Access and Re-use of Scientific Data, Darmstadt, Germany, 22 September 2009.
Closing plenary - John Wilkin and David MaguireJisc
Infrastructure for US research and scholarship
Speaker: John Wilkin, dean of libraries and university librarian at the University of Illinois, previous executive director, HathiTrust.
Efficient infrastructure for UK research
Speaker: David Maguire, vice-chancellor of the University of Greenwich and chair of Jisc.
Jisc and CNI conference, 6 July 2016
Presented by Chris Higgins at the Co-Design Workshop, Machynlleth, 16 October 2014. Half-way through a 4-year project to enable "citizen scientists" to use smartphones to upload crucial scientific data, this presentation shows the current state of progress on the COBWEB project.
The objective of this webinar is to provide an overview of COAR and its activities in support of the development of a global network of repositories. The vision of COAR is to build a seamless knowledge infrastructure through a global Open Access repository network. COAR pursues its vision through an active community of members engaged in working and interest groups, advocacy activities, and training opportunities. The webinar will showcase the work of COAR, the benefits of being part of the organization, collaborative activities, and achievements of COAR.
One of the finalists, eNGO - GRAAM, in the category 'Advocacy', is an initiative of Swami Vivekananda Youth Movement, that works towards advocating policy change.
Open access (OA) to research publications brings with it significant benefits for UK institutions, researchers and research funders.
After several years of concerted effort to implement OA following the Finch report in 2012, we have learned, and continue to learn, a great deal about what works well, and what works less well. In this workshop we’ll present examples of good practice to support implementation from our nine pathfinder projects.
Jarkko Siren is Project Officer in DG Communications Networks, Content and Technology at the European Commission.
Jarkko's presentation gives an introduction to public engagement in research at the European Commission
Presented by Peter Burnhill, Director of EDINA, at PARSE.insight workshop on Preservation, Access and Re-use of Scientific Data, Darmstadt, Germany, 22 September 2009.
Closing plenary - John Wilkin and David MaguireJisc
Infrastructure for US research and scholarship
Speaker: John Wilkin, dean of libraries and university librarian at the University of Illinois, previous executive director, HathiTrust.
Efficient infrastructure for UK research
Speaker: David Maguire, vice-chancellor of the University of Greenwich and chair of Jisc.
Jisc and CNI conference, 6 July 2016
Presented by Chris Higgins at the Co-Design Workshop, Machynlleth, 16 October 2014. Half-way through a 4-year project to enable "citizen scientists" to use smartphones to upload crucial scientific data, this presentation shows the current state of progress on the COBWEB project.
The objective of this webinar is to provide an overview of COAR and its activities in support of the development of a global network of repositories. The vision of COAR is to build a seamless knowledge infrastructure through a global Open Access repository network. COAR pursues its vision through an active community of members engaged in working and interest groups, advocacy activities, and training opportunities. The webinar will showcase the work of COAR, the benefits of being part of the organization, collaborative activities, and achievements of COAR.
Turning FAIR into Reality: Briefing on the EC’s report on FAIR datadri_ireland
DRI Director Natalie Harrower, a member of the European Commission's Expert Group on FAIR (Findable, Accessible, Interoperable and Re-usable) data, delivered a lunchtime briefing on the recently published 'Turning FAIR into Reality' report on Tuesday 26 February in the Royal Irish Academy, Dublin.
In 2016 the FAIR Data Principles were developed to support the position that effective research data management is ‘not a goal in itself but rather is the key conduit leading to knowledge discovery and innovation’. The new publication is both a report and an action plan for turning FAIR into reality. It offers a survey and analysis of what is needed to implement FAIR and it provides a set of concrete recommendations and actions for stakeholders in Europe and beyond.
The briefing provided an overview of the contents of the report, which include the principles of FAIR, as well as the elements required to implement FAIR data.
Incentives for sharing research data – Veerle Van den Eynden, UK Data Service
Incentives to innovate – Joe Marshall, NCUB
Incentives in university collaboration - Tim Lance, NYSERNET
Giving researchers credit for their data – Neil Jefferies, The Bodleian Digital Library Systems and Services (BDLSS)
Jisc and CNI conference, 6 July 2016
This presentation was provided by Kristen Ratan, Founder of Stratos and CoFounder of ICOR, and served as the opening keynote for the two-day "NISO Tech Summit: Reflections Upon The Year of Open Science." Day one was held on October 25, 2023.
New Data, Same Skills: Applying Core Principles to New Needs in Data CurationLynn Connaway
Connaway, Lynn Silipigni. 2017. "New Data, Same Skills: Applying Core Principles to New Needs in Data Curation." Presented at the IFLA Satellite Meeting of the World Library and Information Congress 2017, 83rd IFLA General Conference and Assembly, Warsaw, Poland, August 16-17.
New Data, Same Skills: Applying Core Principles to New Needs in Data CurationOCLC
Connaway, Lynn Silipigni. 2017. "New Data, Same Skills: Applying Core Principles to New Needs in Data Curation." Presented at the IFLA Satellite Meeting of the World Library and Information Congress 2017, 83rd IFLA General Conference and Assembly, Warsaw, Poland, August 16-17.
The Challenges of Making Data Travel, by Sabina LeonelliLEARN Project
1st LEARN Workshop. Embedding Research Data as part of the research cycle. 29 Jan 2016. Presentation by Sabina Leonelli, Exeter Centre for the Study of Life Sciences (Egenis) & Department of Sociology, Philosophy and Anthropology, University of Exeter
Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Similar to Open data publishing and incentives/Susan Veldsman (20)
Presentation on behalf of the SA Weather Service presented during SA National Science Week - The harsh realities of climate change, 29 July to 2 August 2019.
Presented at a NeDICC (Network of Data and Information Curation Communities) meeting, 14 March 2019, CSIR, and at the University of Pretoria and the Carnegie Corporation of New York Capstone Conference, 24-29 March 2019, Kieviets Kroon.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
The affect of service quality and online reviews on customer loyalty in the E...
Open data publishing and incentives/Susan Veldsman
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. 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. 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. 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. (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. 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.
https:dataone.org
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.
https:dataone.org
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. 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. 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. 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