BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20181205T102000Z DTEND;VALUE=DATE-TIME:20181205T103000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-884@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/33/contributions/884/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/884/ END:VEVENT BEGIN:VEVENT SUMMARY:Chair/Facilitator DTSTART;VALUE=DATE-TIME:20181205T090000Z DTEND;VALUE=DATE-TIME:20181205T090500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-882@events.chpc.ac.za DESCRIPTION:Speakers: Sthembiso Mkhwanazi (CSIR)\nhttps://events.chpc.ac.z a/event/33/contributions/882/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/882/ END:VEVENT BEGIN:VEVENT SUMMARY:Chair/Facilitator DTSTART;VALUE=DATE-TIME:20181205T113000Z DTEND;VALUE=DATE-TIME:20181205T113500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-885@events.chpc.ac.za DESCRIPTION:Speakers: Isak Van der Walt (UP Library)\nhttps://events.chpc. ac.za/event/33/contributions/885/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/885/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20181205T122000Z DTEND;VALUE=DATE-TIME:20181205T123000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-889@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/33/contributions/889/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/889/ END:VEVENT BEGIN:VEVENT SUMMARY:Chair/Facilitator DTSTART;VALUE=DATE-TIME:20181205T133000Z DTEND;VALUE=DATE-TIME:20181205T133500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-890@events.chpc.ac.za DESCRIPTION:Speakers: Nobubele Shozi (CSIR)\nhttps://events.chpc.ac.za/eve nt/33/contributions/890/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/890/ END:VEVENT BEGIN:VEVENT SUMMARY:DIRISA Technology Stack DTSTART;VALUE=DATE-TIME:20181205T113500Z DTEND;VALUE=DATE-TIME:20181205T115000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-886@events.chpc.ac.za DESCRIPTION:Speakers: Claude Fortune (CSIR)\nA brief overview of the Techn ology stack used by DIRISA to provide storage infrastructure and services will be provided.\n\nhttps://events.chpc.ac.za/event/33/contributions/886/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/886/ END:VEVENT BEGIN:VEVENT SUMMARY:The South African Data Management Planning Tool (SA DMP Tool) DTSTART;VALUE=DATE-TIME:20181205T120500Z DTEND;VALUE=DATE-TIME:20181205T122000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-888@events.chpc.ac.za DESCRIPTION:Speakers: Nobubele Shozi (CSIR)\nResearch funders around the w orld are realizing the importance of data management planning. Increasingl y research public funders globally\, now require data management plans to be submitted with research proposals as a condition of funding support. Th is is also true in South Africa where research funders such as the Nationa l Research Foundation (NRF) already require researchers to provide a data management plan as part of their application for research funding. A data management plan can be described as a formal document that outlines how da ta will be dealt with by the researcher before\, during and after the rese arch has been conducted. \nThe DIRISA Data Management Planning (DMP) Tool has been developed to assist South African Researchers to create data mana gement plans that align with the requirements of funders such as the Natio nal Research Foundation (NRF). This presentation will give a brief demo of the tool.\n\nhttps://events.chpc.ac.za/event/33/contributions/888/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/888/ END:VEVENT BEGIN:VEVENT SUMMARY:The World of Research Data: When Should Data be Closed\, Shared or Open? DTSTART;VALUE=DATE-TIME:20181205T090500Z DTEND;VALUE=DATE-TIME:20181205T092000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-812@events.chpc.ac.za DESCRIPTION:Speakers: Heila Pienaar (University of Pretoria Library)\nThat research data should be shared with the rest of the world has become almo st evangelical in nature. This paper will try to answer the following ques tions:\n• What are the (real) reasons for ‘forcing’ scientists to op en their data\, even if they are not ready to do so?\n• What right have non-scientists (and scientists) to push indiscriminately for the sharing o f data without taking the nuances of research into consideration?\n\nThis paper will look at the physical characteristics of research data before it can be shared\, a case study of the public humiliation of a excellent res earcher who did not wish to share his data\, as well as the advantages and disadvantages of sharing research data.\n\nhttps://events.chpc.ac.za/even t/33/contributions/812/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/812/ END:VEVENT BEGIN:VEVENT SUMMARY:Infrastructure Services Towards Data Sharing DTSTART;VALUE=DATE-TIME:20181205T135000Z DTEND;VALUE=DATE-TIME:20181205T140500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-818@events.chpc.ac.za DESCRIPTION:Speakers: Ina Smith (Academy of Science of South Africa)\nOne of the principal benefits of and drivers for Open Science is the open use of shared infrastructures for science. The digital age offers huge opport unities for the accelerated creation of and networked access to data for r esearch. The exploitation of this through the Internet\, the Web\, Grids\ , e-Science\, Research Infrastructures\, Open Science Clouds and Platforms has been a major driver of many areas of scientific progress and a key fe ature of science policy and investment (in particular disciplines or in cr oss-disciplinary programmes).\n\nGlobal north investment in research infra structures\, data commons and Open Science Clouds is a direct result of th e scientific benefits achieved in the last 15-20 years through networked a ccess to data resources and computing power. It is essential that African countries and Africa as a continent keep pace with these developments.\n\ nThere is growing awareness globally that it is not enough to create netwo rk or compute infrastructure in a way that is abstracted from research dis ciplines and concrete use cases. Moreover\, and of crucial importance is the recognition that data require the investment of stewardship to ensure that they can be fully exploited. Again this has been variously expressed : data should be a first class object\, data as infrastructure\, intellige nt openness or FAIR data. With ever more useful refinements\, these argum ents point towards the same end: a necessary feature of research infrastru ctures is a rich environment of data resources that are Findable\, Accessi ble\, Interoperable and Reusable (FAIR)\; as Open as Possible and stewarde d for the long term as part of the record and resource of science.\n\nThe most obvious challenges\, relate investment and the funds needed for such infrastructures. But they also relate to coordination. A great deal can be achieved through coordination of resources and investment in shared inf rastructures. The development of high-speed educational research networks and improved access to HPC clusters is proceeding and there are some inst ances of experimentation with cloud computing for science. The challenge is to achieve the vision\, strategy and coordination that will ensure thes e investments will enable to African researchers to engage with the Open\, data-intensive science of the 21st century. This means building on the i nfrastructure a shared layer providing access to compute and research tool s of various sorts and to data that is Open and FAIR. A lot can be learnt from activities globally\, particularly in Europe and Australia. A major challenge is to determine how such levels of coordination can be achieved between African research systems and institutions. Without such coordina tion and the attendant economies of scale and cost sharing\, the developme nt of research infrastructures will be far slower\, more expensive\, ad ho c and susceptible to quicker technical redundancy or obsolescence.\n\nThis paper will report on an African Open Science Platform ICT Infrastructure Framework and Roadmap\, guiding African countries towards preparing for a coordinated initiative\, addressing Open Science and Open Access needs acr oss disciplines. South Africa continues to be a main player as will be ind icated in this paper\, together with countries such as Kenya. This paper w ill demonstrate that collaboration and coordination are possible and much needed\, towards addressing the objectives of the SA National Development Plan and the UN Science\, Technology and Innovation Strategy for Africa 20 24.\n\nhttps://events.chpc.ac.za/event/33/contributions/818/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/818/ END:VEVENT BEGIN:VEVENT SUMMARY:The 2017 High Impact Weather Events over South Africa DTSTART;VALUE=DATE-TIME:20181205T133500Z DTEND;VALUE=DATE-TIME:20181205T135000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-891@events.chpc.ac.za DESCRIPTION:Speakers: Mary-Jane Bopape (South African Weather Service)\nTh e mandate of the South African Weather Service (SAWS) is to provide weathe r\, climate and air quality related information\, products\, services and solutions that contribute to the safety of life and property in the air\, land and sea. To deliver on its mandate\, SAWS operates a comprehensive we ather observation network and also runs models in operational mode. The ob servation network includes 14 operational some S-band and C-band radars wh ich cover most of the country. SAWS also operates a lighting detection net work which has been in operation since 2006. Further SAWS also access sate llite information in near real time and this information is especially hel pful for areas where there is no radar network. The United Kingdom Met Off ice (UKMO) Unified Model (UM) is used for short range forecasting and is o perated with a grid spacing of 4.4km and 1.5 km. For the medium range time scale\, SAWS downloads data from the European Centre for Medium-Range Weat her Forecasts (ECMWF) and National Centers for Environmental Prediction (N CEP) Global Ensemble Forecasting System (GEFS). In this presentation the p erformance of SAWS in issuing warnings of high impact weather events that took place in 2017 will be assessed against the model simulations that are produced both at SAWS as well as the ECMWF simulations. Moreover\, the as sessment of the performance will also be checked against the availability of the radar and satellite data in the nowcasting timescale. The general s tatistics will be presented for floods and heavy rainfall events\, thunder storms including hail storms and tornadoes\, as well as strong winds that were reported in print media. Initial results indicate that SAWS issued wa rnings for 21/26 veld fires\, 28/51 heavy rain or flooding events\, 18/32 thunderstorms and 9/18 strong winds 24 hours in advance. The data that is valuable for warnings that are issued 24 hours or longer before the event occurs is produced by models. Closer to the events\, the critical infrastr ucture is that associated with near real-time observations. In the present ation we will also show the effects of the availability of the observation s to warnings issued by SAWS. The presentation will also highlight challen ges associated with managing both observation and model simulation data.\n \nhttps://events.chpc.ac.za/event/33/contributions/891/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/891/ END:VEVENT BEGIN:VEVENT SUMMARY:Integrating Data Upload Service With Digital Object Identifier Sys tem DTSTART;VALUE=DATE-TIME:20181205T115000Z DTEND;VALUE=DATE-TIME:20181205T120500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-887@events.chpc.ac.za DESCRIPTION:Speakers: Mbuyiselo Ndlovu (CSIR Employee)\nExtended Title: A n Investigation into the integration of Digital Object Identifier (DOI) an d Data Upload Service for use in Data Intensive Research in South Africa ( DIRISA).\n\nAbstract: The use of Digital Object Identifiers has become an increasingly important topic within the research and data space. This is m ainly due to the fact that researchers want their data to be easily findab le\, accessible and searchable. The Data Intensive Research Initiative of South Africa (DIRISA) has realised this need and is creating a system that can allow researchers to mint their own identifiers based on handle.net s ystem. These identifiers can be referred to as Digital Object Identifiers (DOI’s). However\, in order to mint identifiers the researchers need to upload data and provide metadata.\n\nhttps://events.chpc.ac.za/event/33/co ntributions/887/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/887/ END:VEVENT BEGIN:VEVENT SUMMARY:Challenges and Opportunities for African Genomics Research DTSTART;VALUE=DATE-TIME:20181205T092000Z DTEND;VALUE=DATE-TIME:20181205T093500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-816@events.chpc.ac.za DESCRIPTION:Speakers: Sumir Panji (UCT Computational Biology Division / H3 ABioNet)\nFor the promise of genomics to drive precision medicine to be re alized\, numerous human genome sequence samples and high depth coverage an d from a variety of populations is required. Through initiatives like H3Af rica\, population scale genomics is being applied to help characterize div erse African populations that have currently not been featured in the geno mics revolution. African genomes represent an uncharacterized portion of h uman genomics and may hold opportunities for novel discoveries. \n\nGenomi cs data however is big data\, the collection\, transfer\, storage and anal yses of genomics data poses challenges to the infrastructure needed to man age such data. Key to human genomics data is governance policies that cont rol the access of sensitive genetic data and achieving a balance between n ot being a barrier to access data that drives scientific discoveries\, and at the same time protect the individuals that provide data. Associated wi th human genomics data is the rich diversity of meta-data that provide con textual information of the data. Some of the meta-data can be shared\, oth er meta-data that might possibly make a sample identifiable will need to b e under controlled access. Meta-data standards that are interoperable are required for the sharing of data and also for any meta-analysis to be cond ucted and form the core of good data management when dealing with copious volumes of data. The adoption of FAIR principals (Findable\, Accessible\, Interoperable and Reusable) is becoming prevalent across all scientific di sciplines and in some cases mandated by different funding agencies. The te chnological adoption needed to turn FAIR principals into reality is non-tr ivial\, but achievable and should be incorporated within good data managem ent practices. \n\nFor genomics data to be translated into actionable outc omes with impacts\, intensive computational processing and analyses of the data needs to be undertaken to convert information into knowledge. Tradit ionally in bioinformatics numerous software packages\, versions and depend encies are needed to undertake an analyses which can run into 100s or 1000 s of computational hours making reproducibility of the science a key issue . Development of computational workflows and containerized environments wi th user defined software stacks which can be hosted on various high perfor mance computing systems enables the sharing of software environments\, ver sions\, and computational workflows leading to reproducible science.\n\nht tps://events.chpc.ac.za/event/33/contributions/816/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/816/ END:VEVENT BEGIN:VEVENT SUMMARY:Q&A DTSTART;VALUE=DATE-TIME:20181205T142000Z DTEND;VALUE=DATE-TIME:20181205T143000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-892@events.chpc.ac.za DESCRIPTION:https://events.chpc.ac.za/event/33/contributions/892/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/892/ END:VEVENT BEGIN:VEVENT SUMMARY:Digital Scholarship - Surviving a Digital and Data Intensive World DTSTART;VALUE=DATE-TIME:20181205T093500Z DTEND;VALUE=DATE-TIME:20181205T095000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-814@events.chpc.ac.za DESCRIPTION:Speakers: Isak Van der Walt (University of Pretoria)\nAccordin g to Feeney\, Mary & Ross\, Seamus in Information Technology in Humanities Scholarship\, British Achievements\, Prospects\, and Barriers https://www .jstor.org/stable/20755828\, The growth of digital media means that the ma in areas of scholarship can each benefit from expansions in their own way thanks to the infinite shareability of digital content.\n\nWith the ever-e xpanding affordances that new digital media and research tools provide us\ , the underlying question is what form of control\, training\, validation and systems need to be in-place to ensure efficient data management throug hout the whole research life-cycle? Often organisations focus on the effic ient data management during a specific phase\; however\, we need to ensure that best practices on research data management are applied throughout. D igital Scholarship Centres can play a key role in providing guidance\, tra ining and even systems to bring together an overarching portfolio of servi ces and products that can steer digital and data intensive research.\n\nTh is presentation will provide you with insight into the progress the Univer sity of Pretoria has made in establishing its own Digital Scholarship Cent re\, its successes and failures.\n\nhttps://events.chpc.ac.za/event/33/con tributions/814/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/814/ END:VEVENT BEGIN:VEVENT SUMMARY:UNISA Research Data Management: A Case Study DTSTART;VALUE=DATE-TIME:20181205T095000Z DTEND;VALUE=DATE-TIME:20181205T100500Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-815@events.chpc.ac.za DESCRIPTION:Speakers: Makaba Macanda (UNISA)\nThe drivers and principles f or managing research data at the University of South Africa is driven by t he increasing number of policies published by funders of research to ensur e the validation of research results. The funder requirements expects the following from research outputs:\n• To make provision for data reuse\,\n • To enable actionable and socially beneficial science from publicly fun ded research.\n\nThe purpose of the project is to ensure that research dat a is stored\, preserved\, retained\, made accessible for use and reuse\, a nd/or disposed of\, according to legal\, statutory\, ethical and funding b odies’ requirements.\n\nUnisa Library was mandated to investigate the Da ta Curation readiness at Unisa in 2010. Research was conducted and it was concluded that\, that Data Curation cannot take place in isolation in the library. It was then decided to change the concept documents from data cu ration to Research Data Management\, holistically. The project is driven f rom Unisa Library and in particular Information Resources Content Manageme nt (IRCM).\n\nThe paper will provide a case study analysis of the transiti on in the implementation of the Research Data Management and the interdepe ndencies.\n\nhttps://events.chpc.ac.za/event/33/contributions/815/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/815/ END:VEVENT BEGIN:VEVENT SUMMARY:ILIFU RDM Research Project: Progress Report DTSTART;VALUE=DATE-TIME:20181205T140500Z DTEND;VALUE=DATE-TIME:20181205T142000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-817@events.chpc.ac.za DESCRIPTION:Speakers: Alecia Naidu (University of Cape Town)\nILIFU is the isiXhosa word for Cloud\, an apt representation of the first node in the data infrastructure funded by the Department of Science and Technology to support the National Integrated Cyberinfrastructure System of South Africa . This presentation will provide an overview of the ILIFU model of shared infrastructure as a data-intensive research facility for big data managem ent\, storage and analysis. It will focus primarily on the Research Data M anagement (RDM) component of the project from conception to its current le vel of operationalisation. \n\nThe current progress will be shared with th e community to raise awareness of the RDM project\, its methodology and it s structure. The overall project has a strong emphasis on the development of policies and guidelines to assist researchers who will be working on th e data intensive infrastructure. The project is also developing a Work Int egrated Learning programme to enable the placement of postgraduate studen ts and mid-career personnel with the various projects in order to assist w ith the implementation of the RDM policies and guidelines as well as gaini ng work experience in data science. Significantly\, the RDM research proj ect fulfils an important additional function in support of institutional c apacity building across participating institutions\, where project finding s will serve to promote institutional policy and service development. \n\ nThe presentation will offer insights into data governance\, the challenge s and opportunities of the ILIFU RDM project\, and the interaction betwee n scientists and information professionals in building an African data inf rastructure.\n\nhttps://events.chpc.ac.za/event/33/contributions/817/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/817/ END:VEVENT BEGIN:VEVENT SUMMARY:Research Data Management: The Security Imperatives DTSTART;VALUE=DATE-TIME:20181205T100500Z DTEND;VALUE=DATE-TIME:20181205T102000Z DTSTAMP;VALUE=DATE-TIME:20260807T162424Z UID:indico-contribution-164-883@events.chpc.ac.za DESCRIPTION:Speakers: Uche M. Mbanaso ()\nResearch data management (or RDM ) is a growing phenomenon\, and is largely concerned with the creation\, o rganization\, storage\, safeguarding\, and dissemination of data related t o research works. One of the key components of RDM activity is safeguardin g the data\, which undoubtedly includes security of the data. However\, re search data security is hardly discussed in the literature resulting to hu ge gap in assuring its security properties. Unarguably\, research data com es in various forms and formats\, and of different intrinsic value. It mea ns that the sensitivity of research data may vary from research thematic a rea or environment\, and may contain significant sensitive data that can n ecessitate some degree of security. This requires understanding of securit y requirements to proportionately safeguard research data. In this present ation\, data security is examined in the context of research data especial ly confidentiality\, integrity\, authenticity\, availability\, non-repudia tion and trustworthiness attributes. A framework is proposed on how resear chers and research data management operators can preserve research data se curity proportionally.\n\nhttps://events.chpc.ac.za/event/33/contributions /883/ LOCATION: Meeting Rooms 8+9 URL:https://events.chpc.ac.za/event/33/contributions/883/ END:VEVENT END:VCALENDAR