Research Data Management

The Infrastructure for Integration in Structural Sciences (I2S2) Project is funded under the Research Data Management Infrastructure strand of the JISC's Managing Research Data Programme, with a duration of 18 months (Oct 2009 to March 2011.

Son zamanlarda Türkiye'de sosyal bilim araştırmalarında sosyal medya ortamları üzerine yapılan araştırmalarda, özellikle bu ortamlardan kullanıcıların arayüzeydeki içerik üretimleri çeşitli uygulamalarla toplanmakta, veriler çeşitli şekillerde haritalanmakta, nitel veya nicel yöntemlerle analiz edilmektedir. Tüm bu araştırmalarda verinin toplanması ve kullanılmasında bazı etik sorunlar ortaya çıkmaktadır. Sosyal medya ortamlarında araştırma etiği konusu üzerine başta Association of Internet Research'ın, İskandinav ülkelerindeki Etik Kurulları'nın (örneğin Araştırma Etiği için Norveç Ulusal Komitesi) çeşitli çalışma ve önerileri bulunmaktadır. Bu çalışma kapsamında Türkiye'de sosyal bilim araştırmalarında bir veri etiği politikasının olup olmadığı sosyal medya uygulamalarından verinin toplanması konusu özelinde ele alınmaktadır. Sosyal medya ortamlarında veri toplanması ve veri etiği konusunda Türkiye'de konuyla ilgili kurumsal aktörler, konuyla ilgili uzmanlar ve veri haberciliği üzerine sahada somut çalışmalar yapan STK'larla derinlemesine görüşmeler yapılmış, yukarıda belirtilen sorunlar çerçevesinde bu görüşmeler tematik olarak analiz edilmiştir.Bu analiz sonucu, bazı araştırma konuları ve öneriler geliştirilmiştir. Anahtar Kelimeler: araştırma, veri, veri etiği, bilimsel araştırmada etik, sosyal medya 1 Bu çalışma Hacettepe Üniversitesi Bilimsel Araştırma Desteği (2016/9402 No'lu araştırma projesi) desteği ile gerçekleştirilmiştir.

This Impact Report identifies and summarises the diverse impacts, resulting from the £500m of UK funding of Science and Technology in 2013, using numerous quantitative metrics and short case study extracts.  It shows how the varied impacts of a national science and technology organization and its many funded programmes can be annually identified, captured, tracked, and summarised in a public document.

The report was produced for, and by, the Science and Technology Facilities Council (STFC) -  the UK Research Council responsible for funding: (1) all UK astronomy, particle and nuclear physics research, (2) related UK science and technology facilities (e.g. as Harwell and Daresbury), (3) the UK contribution to international science (e.g. CERN, international telescopes and space missions), (4) innovation and business spin-off programmes, and (5) UK public engagement activities.

The Report was co-researched and co-authored by the STFC Impact Team, including myself while Impact Evaluation Manager in 2013, with Dr. Claire Dougan-McCallie (lead author/Head of Impact) and Jenny Beard, with additional input from senior managers, and many data and case study contributions from other key managers across STFC.

Varied key impacts are identified and reported including:

• Research amongst the best (by citation impact) in astronomy, nuclear and particle physics.
• Supported research of 226 Principal Investigators in 70 universities, led to 1,100 peer-reviewed papers in 2012.
• Facilities (the Diamond Light Source, ISIS and CLF) were used in 2012/13 by over 4,200 unique users , in over 2,400 experiments, producing over 1,000 papers in peer-reviewed journals.

• Technology from CERN benefited the UK economy by over £100 billion every year.
• Funding the development of the UK’s space, internet and computer animation industries, returned over £500 billion to the UK economy per annum.
• Funded Innovation Campuses hosted over 230 enterprises and supported over 5,000 jobs.
• UK industry won £43 million in contracts from the international subscriptions funded, and had accumulated a total of £150 million since 2005.

• Funded research inspired future generations to study STEM subjects, attracting 90% of UK undergraduates to study physics, funded 782 PhD students  and 16,800 student training days.
• Between 2009 to 2012 public engagement programmes engaged people on 58 million occasions, with 2 million people engaged in face-to-face activities in 2013 alone.

This book is a guide to clarify the legal protection applying to research data under Dutch and European Union law, intended for researchers who need to know what they can do with other people’s data.

The opportunities opened up by ICT and the Internet are making access to research results and data broader and more open. It is increasingly possible to add to the text of a publication by enriching it with other materials, including the relevant research data. By making that data accessible, it becomes easier to verify research results and to reproduce and reuse them.

But when reusing raw research data, it is important to know the legal status of the material. Sometimes, the consent of the 'author' (i.e. the 'maker') of the data is required; however, some actions involving data can be carried out without consent.
The guide aims to clarify the legal protection applying to research data for researchers who need to know what they can do with other people’s data. That information will also allow researchers to determine whether they also need to protect their own research data.

The report provides an overview of the current situation on the basis of the most important legislation and case law. It consists of three sections, dealing successively with intellectual property (copyright, database right, and protection of non-original writings), privacy, and liability.

The guide is a translation of a dutch report, available at http://www.surffoundation.nl/nl/publicaties/Pages/Juridischestatusvanruwedata.aspx.

Die Forschungsphase bestand aus zwei Projekten, wobei sich das eine eher dem Digitalisierungszentrum DIZ zuordnen lässt, und das andere dem Bereich Forschungsdatenmanagement, das keiner Abteilung angehört, derzeit aber am ehesten ins Team EID passt.
Das erste und kleinere Projekt war die Erstellung einer digitalen Sammlung aus der Botanik. Die Bände „Hortus semper virens“, die wie die Flora Graeca, die sehr viel größer ist, Informationen und Beschreibungen auf Lateinisch zu vielen verschiedenen Blumen bieten, mussten geordnet werden, was größtenteils Fleißarbeit ist.  Im Anschluss daran wurden die Pflanzenbilder und Textseiten mit speziellen Programmen für die digitale Sammlung vorbereitet und anschließend im Web sichtbar gemacht.
Das zweite große Projekt war die Einführung einer Forschungsdateninfrastruktur. Hierbei lag der Schwerpunkt auf der Aufstellung eines Datenmanagementplans (DMP), wie es von der Deutschen Forschungsgemeinschaft empfohlen wird. Dazu sollten auch schon bestehende Internetressourcen rund um das Thema DMP und Tools recherchiert werden.
Im Anschluss an die DMP-Fertigstellung ist der DMP nun in den Pretests, die durch Experten auf dem Gebiet „Beantragung von Fördermitteln“ des Hochschulrechenzentrums der TU Darmstadt durchgeführt werden.
Mit dem Online gehen der Forschungsdaten-Website wird nun ein Beratungs-und Schulungsangebot benötigt. Meine neue Aufgabe bestand in der Erstellung einiger dieser Schulungsunterlagen.

Gegenstand der vorliegenden Ausarbeitung ist es anhand von online verfügbaren Forschungsdaten zur „musikalischen Früherziehung“ die Veränderungen in der mu-sikpädagogischen Methodik von 1960-heute zu untersuchen. Zu Beginn führt ein Ex-posé die Begriffe, das Vorgehen und die Datenlage der Thematik ein. Es schließt sich ein Kapitel an, das Forschungsdaten im Forschungsprozess als Vorüberlegung zur eigentlichen Analyse einführt. Im Zuge der Analyse im Anschluss wird ein Ordnungs-versuch vorgenommen und beleuchtet was mit den derzeitigen Rechercheplattfor-men und Möglichkeiten gefunden werden kann und ob die Vorhaltung der For-schungsdaten optimal ist. Im Dschungel der Empfehlungen, aktueller Berichte und kleinteiliger Strukturen, die das Auffinden der Forschungsdaten erschwert, erfährt man viel über die Irrwege und glücklicher Weise auch Aufdeckung von Irrtümern. Letztendlich kommt der Autor zur Erkenntnis, dass der richtige Weg nur „jedem Kind Instrumente, Singen und Tanzen“ sein kann. Die Förderung musikalischer Talente nimmt dabei eine wichtige Rolle ein. Eine vernünftige Zeitreihe zu erstellen, was an-fangs versucht wurde, konnte auf Grundlage sträflich defizitärer Datenstrukturen nicht realisiert werden. Außerdem kann nicht gesagt werden, ob in den jeweiligen Recherchen alle Daten gefunden wurden, weil die Suchinterface-Datenbank-Kommunikation nicht sinnvoll gelöst wurde oder Quasisynonyme in der Verschlag-wortung existieren.

This paper examines the problems and challenges of  small farmers and  agriculture in Punjab . It covers general background of Punjab , problems of farmers , role of information technology ,  trends in agricultural growth, cultivation patterns , organizations , information wings , kheti  project benefits of  IT in agriculture etc. It also provides information on techniques for using input items such as seeds, fertilizer, water etc .

In the last two decades, due to the vast quantities of born-digital data produced in a wide variety of forms (texts, images, audio and video recordings, codes a.s.o.) and file formats and to the evolution of tools for dealing with, research data management (RDM) became one of the main topics of interest for scientists and information professionals, as a part of good research practice. The preservation, sharing and re-use of research data are requested not only by scholars, but also by governmental agencies, public and private funders, or publishers. The possibility to verify the research findings is complemented, under the extension of open access<br> movement, by the facilitation of new research based on the output of the existing one. The universities and their libraries are among the institutional stakeholders that have begun to address these issues, becoming engaged in developing policies, services, and infrastructure for RDM.

This presentation was delivered at the Elsevier Library Connect Seminar on 6 October 2014 in Johannesburg, 7 October 2014 in Durban and 9 October 2014 in Cape Town and gives an overview of the potential role that librarians can play in research data management

The study tackled the significance of research data management in developing scientific researches being a new topic in research societies. The study aims to identify research data curation as well as explaining concept, objectives, and use of research data curation. In addition, the study aims to identify the entity of research data and the importance of its curation. The study shows form model allocated to study and create research data curation file in order to enable researchers to do curation to their research data or train and help researchers through librarian. The study revealed that research data represented in the actual records of data gathered or observed as basic references for purposes of analysis and production of original researches results. The study also shows that research data curation in the field of research field has a very important role represented in the easiness of reusing data by the same researcher or other researchers in order to avoid effort doubling, verify research findings and compliance to legal and moral criteria. The study shows that the base for creating research data curation file is individual; there is no unified model for each college, department, or major. Furthermore, the study concludes that there is a scarcity in Arabic resources discussing management and curation of research data. The study recommends researchers to conduct several Arabic studies about research data to utilize the value of inactive cumulative data. In addition, the study proposes educating organizational warehouses and Arabic libraries about management and curation of research data and providing training courses to librarians about method and use of research data curation in scientific researches.

PurposeThe purpose of this paper is to describe key factors in sustaining effective business value chains for companies operating in the electronic industry and identify their potential future challenges.Design/methodology/approachThe research methodology includes the survey development, the hypothesis development, and the statistical analyses, especially the Pearson correlation. Altogether, a total of 129 firms participated in this study – 97 companies from Hong Kong/China and 32 firms from Thailand. Included in this methodology are a pre‐test of a survey, a development of the research hypotheses, and follow‐up discussions with participating executives on possible future challenges for their business value chains.FindingsAn effective business value chain essentially depends on a good internal operational system and constructive relationships with suppliers and customers. In other words, the collective efficacy depends on a manufacturer's internal operations (IO) and its supplie...

The concept of data curation has been a well-known term for scholarly communities. The understanding of data curation itself is necessary for research institutes that manage any kinds of research data set. Yet, research institutions have already set their plan and management to ensure that research data management is going well and supports the objectives of the institutions. For that reason, this paper was made to evaluate the research data cycle and management at several research institutions in Indonesia. The purpose of this paper was also to observe and to analyze how the standards and system have been used at research institutions and how they were effective. Also, it is essential to know how institutions find the term data curation and how it links to the management of research data and its implication to research data. This study used phenomenological method on data curation and how it would affect the performances of research data. The result showed that vital aspects were identified both from the informants and the previous studies. They were the appropriate curation model, data curation regulations, finding problems at the institutions and knowing supported technology, and system for data curation implementation.

At the University of Pretoria (UP), Pretoria, South Africa, a team consisting of members of the IT and Library departments has evaluated several research data repository platforms in depth. A list of criteria was developed based on other lists of criteria, a South African research data repository workshop and several internal and external discussions and surveys. Two commercial and four open source research data repositories were short listed for evaluation. By end February 2017 we should know which repository the University will be prepared to fund and implement. The University is also keen to investigate the possibility of forming a consortium with other South African Universities in order to obtain the best research data platform at a good price.

With the advent of new technologies integrated with research data management tools has led to a great revolution in the automation and digitization in libraries to provide innovative
services that cater to the modern “smart” users’ needs. At the same time,
adoption of various policy frameworks for managing the data
and workflow systems
along with other Knowledge Organisation Systems (KOS) such as
Metadata, taxonomies, ontologies
that enable the interoperability of research data that enable information retrieval pose challenges to the information professionals. The expectations of the library patrons are increasing day-by-day, as the required information need to be made available on their fingertips within the short span of time. Within this framework, Research Data Management (RDM) plays a crucial role in the information management and dissemination of research data. The paper will first present a brief overview of RDM, detailed literature review regarding the RDM aspects adopted in libraries of the world. It will also describe several tendencies concerning management of repository tools for managing research data and also the showcase the associated challenges in implementing the RDM. This will also depict the proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An attempt will be tried to depict and present the suitable policies with a policy framework and workflows with adoption of best practices in RDM will boost the research process in an organisation.

Url: http://dspace.nitrkl.ac.in/dspace/handle/2080/2514

European archaeology has recently started to employ largescale databases of field data for a purposeful research of settlement history in the long-term perspective. Projects of this kind target topics like the demography of past populations, regional differences in settlement density, environmental impact of settlement, etc. The results of these efforts are mostly very beneficial casting new light on some general aspects of historical development of various parts of Europe; they are not, however, without risks. The present paper points out some of the pitfalls hidden in straightforward generalizations of data sets like the national 'sites and monuments records', registers of 14C dates and similar 'big data'. Particularly, the varied visibility of archaeological remains from different periods (caused mainly by secondary cultural factors in combination with post-depositional processes) and the course of archaeological fieldwork itself are among the key issues to be thoroughly considered (cf. https://www.archaeopress.com/Archaeopress/Products/9781803270067).

This paper attempts to present a brief overview of several Research Data Management (RDM)issues and  a  detailed  literature  review  regarding  the  RDM  aspects  adopted  in  libraries  globally. Furthermore, it will describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An effortwill be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation of RDM processes in  the Higher Educational Institute  of  India,referring  particularly  to  the  Central  Library  @  NIT Rourkela inOdisha, Indiawith a proposed framework.Finally,this study will also proposean area of opportunities that can boost research activities in the Institute.

Austin CC; Brown S; Fong N; Humphrey C; *Leahey A; Webster P (2015).
IASSIST Quarterly. Data sharing is increasingly recognized as integral to scientific research and publishing. This requires informed and thoughtful preparation from initial research planning to collection of data/metadata, interoperability, deposit in data repositories, and curation. Research Data Canada (RDC) is a collaborative, non-government organization that promotes access to and preservation of Canadian research data. The RDC Standards and Interoperability Committee (RDC-SINC) surveyed 32 Canadian and International online data platforms for storage, data transfer, curation activities, preservation, access, and sharing features. We developed a checklist to compare criteria and features between platforms. The survey revealed a heterogeneity of features and services across platforms, non-standardized use of terms, uneven compliance with relevant standards, and a paucity of certified data repositories. Recommendations for online digital infrastructure development to meet evolving researcher and end-user needs centre around persistent identification and citation of datasets, data reliability, version control, metadata, data sharing, privacy controls, long-term preservation of data, and certification of data repositories. We identified a need in Canada for investment in an integrated, comprehensive national digital infrastructure for research data.

This paper presents about the reference management software's (RMS) as a boon to changing the scholarly communication. With the rapid applications of ICT in academic and research area to scientific writing and scholarly communication, several significant reference management software's are available online and offline. Today, reference management software are widely used by academicians and researchers to reference management and fastly communicate to other researchers at global level. Reference management Software's are useful to create accurate and systematic referencing in research works carry out by academicians and researchers. RMS is key role changer to enhance the quality of work and changing the scholarly communication landscape. Currently, several popular reference management software's are freely available on Internet like RefWorks, EndNote, BibDesk, Zotero, Connotea, Mendeley, CiteULike, Reference Manager and Referencer etc. The advanced features of these software's is very helpful to support effective reference management. This paper also presents the practical approach with "Mendeley" (a Reference Management Software) to store references, automatically citing references and rapidly scholarly communication for future researches at global level. Lastly, I focus on features of RMS which are changing the scholarly communication landscape.

Background: Public engagement in health and biomedical research is being influenced by the paradigm of citizen science. However, conventional health and biomedical research relies on sophisticated research data management tools and methods. Considering these, what contribution can citizen science make in this field of re-search? How can it follow research protocols and produce reliable results? Objective: The aim of this article is to analyze research data management practices in existing biomedical citizen science studies, so as to provide insights for members of the public and of the research community considering this approach to research. Methods: A scoping review was conducted on this topic to determine data management characteristics of health and bio medical citizen science research. From this review and related web searching, we chose five on-line platforms and a specific research project associated with each, to understand their research data management approaches and enablers. Results: Health and biomedical citizen science platforms and projects are diverse in terms of types of work with data and data management activities that in themselves may have scientific merit. However, consistent approaches in the use of research data management models or practices seem lacking, or at least are not prevalent in the review. Conclusions: There is potential for important data collection and analysis activities to be opaque or irreproduc-ible in health and biomedical citizen science initiatives without the implementation of a research data management model that is transparent and accessible to team members and to external audiences. This situation might be improved with participatory development of standards that can be applied to diverse projects and platforms, across the research data life cycle.

RESUMEN: El nuevo modelo de ciencia abierta requiere de una infraestructura adecuada para preservar y compartir los datos de investigación. Ello ha implicado un desafío tanto para los investigadores como para las universidades y centros. Como respuesta se han creado más de dos mil repositorios de datos en el mundo, un cuarto por parte de estas instituciones, con diferentes softwares especializados. El presente trabajo tiene como objetivo proponer atributos de calidad web para evaluar la interfaz de este tipo de sitios. Para ello se realizó una revisión sistematizada de literatura con directrices internacionales, requisitos técnicos y recomendaciones de expertos, detectando coincidencias. Como resultado se ofrece un protocolo de análisis especialmente formulado para repositorios de datos de investigación, con parámetros e indicadores sobre la interfaz de usuario, localización, acceso y reutilización, conservación, difusión, evaluación y compromiso institucional. A modo de conclusión se observa la necesidad de atender los aspectos específicos de este tipo de datos, relevando el papel de las bibliotecas universitarias para gestionarlos. PALABRAS CLAVE: Repositorios; Datos de investigación; Calidad web; Repositorio de datos; Ciencia abierta; Bibliotecas universitarias
ABSTRACT: The new Open Science model requires an adequate infrastructure to preserve and share research data. This has involved a challenge for both researchers and universities and centers. In response, more than two thousand data repositories have been created in the world, a quarter by these institutions, with different specialized software. This paper aims to propose web quality attributes to evaluate the interface of this type of sites. For this, a systematic review of literature with international guidelines, technical requirements and expert recommendations was carried out, detecting coincidences. As a result, an analysis protocol specially formulated for repositories of research data is offered, with parameters and indicators on the user interface, location, access and reuse, conservation, dissemination, evaluation and institutional commitment. In conclusion, the need to address the specific aspects of this type of data is noted, highlighting the role of university libraries in managing them.

Von den meisten Fördergebern im wissenschaftlichen Bereich wird heute Forschungsdatenmanagement erwartet. Eine Grundlage dessen ist die Zugänglichkeit und Nachhaltigkeit der Daten. FAIR Data Principles und möglichst auch Open Access zu Daten gelten dabei als wesentliche Kriterien. Im Zusammenhang mit ethnographischen Forschungsdaten stößt man jedoch, wie durch das an der Universität Wien angesiedelte Pilotprojekt „Ethnographische Datenarchivierung“ aufgezeigt, bald auf große Herausforderungen für Repositorien, die den Möglichkeiten für Verfügbarmachung und Nachnutzung von Daten Grenzen setzen. Neben fachspezifischen und praktischen Gründen sind es vor allem rechtliche und ethische Anforderungen, die neue Wege erfordern. Der Artikel geht ethnographischer Forschung im Spannungsfeld von fachspezifischen, rechtlichen und ethischen Anforderungen für Repositorien nach.Today’s scientific research funding is often inextricably linked to data management which in turn presupposes data accessi...

The purpose of this study was to assess Research Data Management (RDM) capabilities at the University of Ghana (UG). The study focused on four key capability elements: policy framework, technological infrastructure, skills and knowledge, and support services. It explored the extent to which RDM is embedded in research practices at UG and provides insight into the preparedness of UG to develop RDM. A qualitative case study method was adopted for the study and data was gathered using semi-structured interviews and document analysis. The instrument for the assessment was informed by the Collaborative Assessment for Research Data Infrastructure and Objectives (CARDIO) Matrix tool and respondents were drawn from the Library, IT department, Research Office and senior researchers. The results of the study show that RDM at UG is currently underdeveloped but with immense potential for growth. Though there is no formal RDM infrastructure in place, RDM is considered an essential research integrity issue. Capabilities were generally found to be limited, uncoordinated and not officially instituted. The study recommends that a clear and comprehensive policy framework for RDM should be developed to articulate RDM aspirations and express management’s commitment. It also recommends that research support staff should be supported to build their capacity for RDM promotion and support.

La base de datos contiene una sistematización de las fuentes de información hemerográfica, utilizadas por el autor, para estudiar permanentemente la coyuntura de dominación polìtica y manipulacion ideológica del sexenio presdiencial de Vicente Fox Quezada.

What is the best way of managing access to sensitive data? This is not a straightforward question, as it involves the interaction of legal, technical, statistical and, above all, human components to produce a solution. This paper introduces a modelling tool designed to simplify and structure such decision-making.
The Five Safes model is a popular framework for designing, describing and evaluating access systems for data, used by data providers, data users, and regulators. The model integrates analysis of opportunities, constraints, costs and benefits of different approaches, taking account of the level of data anonymisation, the likely users, the scope for training, the environment through which data are accessed, and the statistical outputs derived from data use.
Up to now this model has largely been described indirectly in other papers which have used it as a framing device. This paper focuses specifically on the framework, discusses usage, and demonstrates where it sits with other data and risk management tools. The aim is to provide a practical guide to the effective planning and management of access to research data.

A characteristic of recent decades of scholarly work in the social sciences has been the increased amounts of empirical research. Access and availability of data are prerequisites for further research, replication work, and scientific development. As international peer-reviewed journals have gradually become the central forum for research debate, moves towards data sharing are dependent upon the policies of journals regarding data availability. This article examines contemporary data availability policies in political science and investigates the extent to which journals adopt such policies and their content. It also identifies a few factors associated with the existence of such policies

Es un acervo de fuentes de informacion documental (primarias y secundarias) para estudiar los procesos de oposición derechista al cambio organizacional socialmente
comprometido, en IES públicas.  Hay énfasis en el caso de la Universidad de Quintana Roo (México)

Digital libraries can be deployed at many points throughout the life cycles of scientific research projects from their inception through data collection, analysis, documentation, publication, curation, preservation, and stewardship. Requirements for digital libraries to manage research data vary along many dimensions, including life cycle, scale, research domain, and types and degrees of openness. This article addresses the role of digital libraries in knowledge infrastructures for science, presenting evidence from long-term studies of four research sites. Findings are based on interviews (n=208), ethnographic fieldwork, document analysis, and historical archival research about scientific data practices, conducted over the course of more than a decade. The Transformation of Knowledge, Culture, and Practice in Data-Driven Science: A Knowledge Infrastructures Perspective project is based on a 2x2 design, comparing two "big science" astronomy sites with two "little science" sites that span physical sciences, life sciences, and engineering, and on dimensions of project scale and temporal stage of life cycle. The two astronomy sites invested in digital libraries for data management as part of their initial research design, whereas the smaller sites made smaller investments at later stages. Role specialization varies along the same lines, with the larger projects investing in information professionals, and smaller teams carrying out their own activities internally. Sites making the largest investments in digital libraries appear to view their datasets as their primary scientific legacy, while other sites stake their legacy elsewhere. Those investing in digital libraries are more concerned with the release and reuse of data; types and degrees of openness vary accordingly. The need for expertise in digital libraries, data science, and data stewardship is apparent throughout all four sites. Examples are presented of the challenges in designing digital libraries and knowledge infrastructures to manage and steward research data.

Objective: Evaluate and examine Data Literacy (DL) in the supported disciplines of four liaison librarians at a large research university.
Methods: Using a framework developed by Prado and Marzal (2013), the study analyzed 378 syllabi from a two-year period across six departments—Criminal Justice, Geography, Geology, Journalism, Political Science, and Sociology—to see which classes included DLs.
Results: The study was able to determine which classes hit on specific DLs and where those classes might need more support in other DLs. The most common DLs being taught in courses are Reading, Interpreting, and Evaluating Data, and Using Data. The least commonly taught are Understanding Data and Managing Data skills.
Conclusions: While all disciplines touched on data in some way, there is clear room for librarians to support DLs in the areas of Understanding Data and Managing Data.

Editions – a specific genre of scientific literature – play a central role not only in philology, but also in archaeology as comprehensive publications of material. Their importance for archaeological knowledge production has been emphasized repeatedly, but so far not systematically investigated. The aim of this contribution is to analyse the praxeological connection of the world and its representations in the editing of archaeological sources by employing Latour’s concept of the “circulating reference”. This work of translation is traced using as an example a needle that was published as part of the research and edition project Prähistorische Bronzefunde. Thus the paper deals with thing identities, object transformations and (de-)punctualisation, as well as the difference between sources and data in the course of editing and mapping of archaeological finds and features.

ICT has not only effected its format, contents, methods of production and delivery of information products but has also changed the role of Abstractlibrary and information professionals from intermediary to facilitators. In this perfectly wired information age, adopting IT for library applications like procuring, circulation, cataloguing and serial control etc has significantly reduced manual operations and had enabled librarians to dedicate more time to their professional jobs.

S Gesing/J. Krüger (Eds.),  Proceedings of the 8th International Workshop on Science Gateways (IWSG 2016). Rome, Italy, June 8-10, 2016. – Nowadays, the daily work of many research communities  is  characterized  by  an  increasing  amount  and  complexity of  data.  This  makes  it  increasingly  difficult  to  manage,  access and  utilize  to  ultimately  gain  scientific  insights  based  on  it.  At the  same  time,  domain  scientists  want  to  focus  on  their  science instead of IT. The solution is research data management in order to  store  data  in  a  structured  way  to  enable  easy  discovery  for future reference. An integral part is the use of metadata. With it, data  becomes  accessible  by  its  content  instead  of  only  its  name and  location.  The  use  of  metadata  shall  be  as  automatic  and seamless  as  possible  in  order  to  foster  a  high  usability. Here we present the architecture and initial steps of the MASi project  with  its  aim  to  build  a  comprehensive  research  data management  service.  First,  it  extends  the  existing  KIT  Data Manager framework by a generic programming interface and by a generic graphical web interface. Advanced additional features includes  the  integration  of  provenance  metadata  and  persistent
identifiers.  The  MASi  service  aims  at  being  easily  adaptable for arbitrary communities with limited effort. The requirements for  the  initial  use  cases  within  geography,  chemistry  and  digital humanities are elucidated. The MASi research data management service  is  currently  being  built  up  to  satisfy  these  complex  and varying  requirements  in  an  efficient  way.

The research was aimed at evaluating how research data are being managed in research institutions in Zimbabwe. The study also sought to assess the challenges that are faced in research data management by research institutions in Zimbabwe. Twenty five institutions of higher learning and other organisations that deal with research were selected using purposive sampling to participate in the study. An online questionnaire on SurveyMonkey was sent to the selected participants and telephone interviews were done to follow up on participants who failed to respond on time. Data that were collected using interviews were entered manually into SurveyMonkey for easy analysis. It was found out that proper research data management is not being done. Researchers were managing their own research data. Most of the research data were in textual and spreadsheet format. Graphical, audio, video, database, structured text formats and software applications research data were also available. Lack of guidel...