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A collaboratory , as defined by William Wulf in 1989, is a “center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries ” (Wulf, 1989).

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94-647: Bly (1998) refines the definition to “a system which combines the interests of the scientific community at large with those of the computer science and engineering community to create integrated, tool-oriented computing and communication systems to support scientific collaboration” (Bly, 1998, p. 31). Rosenberg (1991) considers a collaboratory as being an experimental and empirical research environment in which scientists work and communicate with each other to design systems, participate in collaborative science, and conduct experiments to evaluate and improve systems. A simplified form of these definitions would describe

188-526: A 2006 study, it was observed that, of 141 authors of a publication from the American Psychological Association (APA) empirical articles, 103 (73%) did not respond with their data over a 6-month period. In a follow-up study published in 2015, it was found that 246 out of 394 contacted authors of papers in APA journals did not share their data upon request (62%). A 2018 study reported on study of

282-482: A body of water vapor) in steam engines , in regard to the system's ability to do work when heat is applied to it. The working substance could be put in contact with either a boiler, a cold reservoir (a stream of cold water), or a piston (on which the working body could do work by pushing on it). In 1850, the German physicist Rudolf Clausius generalized this picture to include the concept of the surroundings and began to use

376-601: A car, a coffeemaker , or Earth . A closed system exchanges energy, but not matter, with its environment; like a computer or the project Biosphere 2 . An isolated system exchanges neither matter nor energy with its environment. A theoretical example of such a system is the Universe . An open system can also be viewed as a bounded transformation process, that is, a black box that is a process or collection of processes that transform inputs into outputs. Inputs are consumed; outputs are produced. The concept of input and output here

470-610: A collaboratory may be social rather than technical. “A successful system must respect existing social conventions while encouraging the development of analogous mechanisms within the new electronic forum” (Henline, 1998, p. 69). Similar observations were made in the Computer-supported collaborative learning (CSCL) case study (Cogburn, 2003). The author (Cogburn, 2003) is investigating a collaboratory established for researchers in education and other related domains from United States of America and southern Africa . The main finding

564-491: A collaboratory to “support their strategic plans; facilitate management of the scientific process; have a positive or neutral impact on scientific outcomes; provide advantages and disadvantages for scientific task execution; and provide personal conveniences when collaborating across distances” (Sonnenwald, 2003, p. 68). Many scientists looked at the collaboratory as means to achieve strategic goals that were organizational and personal in nature. Other scientists anticipated that

658-514: A common repository for storing and retrieving shared data sets . Collaboration, Chin and Lansing (2004) state, is driven both by the need to share data and to share knowledge about data. Shared data is only useful if sufficient context is provided about the data such that collaborators may comprehend and effectively apply it. It is therefore imperative, according to Chin and Lansing (2004), to know and understand how data sets relate to aspects of overall data space, applications, experiments, projects, and

752-773: A data provenance tool and a data organization tool. These tools allow a hierarchical tree to display the historical lineage of a data set. From this tree-view the scientist may select a particular node (or an entire branch) to access a specific version of the data set (Chin & Lansing, 2004). The task management provided by BSC allows users to define and track tasks related to a specific experiment or project. Tasks can have deadlines assigned, levels of priority, and dependencies. Tasks can also be queried and various reports produced. Related to task management , BSC provides workflow management to capture, manage, and supply standard paths of analyses. The scientific workflow may be viewed as process templates that captures and semi-automate

846-496: A distributed knowledge network (Cogburn, 2003). The use of collaborative technologies to support geographically distributed scientific research is gaining wide acceptance in many parts of the world. Such collaboratories hold great promise for international cooperation in critical areas of scientific research and not only. As the frontiers of knowledge are pushed back the problems get more and more difficult, often requiring large multidisciplinary teams to make progress. The collaboratory

940-468: A globally distributed knowledge work , stating that human-computer interaction (HCI) and user-centered design (UCD) principles are critical for organizations to take advantage of the opportunities of globalization and the emergence of an Information society . He (Cogburn, 2003) refers to distributed knowledge work as being a set of “economic activities that produce intangible goods and services […], capable of being both developed and distributed around

1034-491: A lot in common with the notions of Interlock research, Information Routing Group and Interlock diagrams introduced in 1984. The word “collaboratory” is also used to describe an open space, creative process where a group of people work together to generate solutions to complex problems. This meaning of the word originates from the visioning work of a large group of people – including scholars, artists, consultant, students, activists, and other professionals – who worked together on

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1128-444: A major defect: they must be premised on one or more fundamental assumptions upon which additional knowledge is built. This is in strict alignment with Gödel's incompleteness theorems . The Artificial system can be defined as a "consistent formalized system which contains elementary arithmetic". These fundamental assumptions are not inherently deleterious, but they must by definition be assumed as true, and if they are actually false then

1222-456: A paradigm shift in the philosophy of collaboration. The collaboratory has proven to be a viable solution for the creation of a virtual organization. Increasingly, however, there is a need to expand this virtual space into the real world. We propose another paradigm shift, moving the collaboratory beyond its existing ICT framework to a methodology of collaboration beyond the tool- and data-centric approaches, and towards an issue-centered approach that

1316-623: A platform for large multidisciplinary teams to work on complex global challenges. The emergence of open-source technology transformed the collaboratory into its next evolution. The term open-source was adopted by a group of people in the free software movement in Palo Alto in 1998 in reaction to the source code release of the Netscape Navigator browser. Beyond providing a pragmatic methodology for free distribution and access to an end product's design and implementation details, open-source represents

1410-478: A random sample of 48 articles published during February–May 2017 in the Journal of Archaeological Science which found openly available raw data for 18 papers (53%), with compositional and dating data being the most frequently shared types. The same study also emailed authors of articles on experiments with stone artifacts that were published during 2009 and 2015 to request data relating to the publications. They contacted

1504-424: A reasonable time, the data, samples, physical collections and other supporting materials created or gathered in the course of the work. It also encourages awardees to share software and inventions or otherwise act to make the innovations they embody widely useful and usable. b. Adjustments and, where essential, exceptions may be allowed to safeguard the rights of individuals and subjects, the validity of results, or

1598-425: A result, a substantial knowledge base has emerged helping us in understanding their development and application in science and industry (Cogburn, 2003). Extending the collaboratory concept to include both social and behavioral research as well as more scientists from the developing world could potentially strengthen the concept and provide opportunities of learning more about the social and technical factors that support

1692-661: A rights-based approach to the development of data-sharing protocols can be based on principles of free, prior and informed consent , and prioritise the protection of the rights of those who generated the data, and/or those potentially affected by data-sharing. Committee on Issues in the Transborder Flow of Scientific Data, National Research Council (1997). Bits of Power: Issues in Global Access to Scientific Data . Washington, D.C.: National Academy Press. doi : 10.17226/5504 . ISBN   978-0-309-05635-9 . — discusses

1786-434: A set of rules to form a unified whole. A system, surrounded and influenced by its environment , is described by its boundaries, structure and purpose and is expressed in its functioning. Systems are the subjects of study of systems theory and other systems sciences . Systems have several common properties and characteristics, including structure, function(s), behavior and interconnectivity. The term system comes from

1880-582: A system understanding its kind is crucial, and defined natural and designed , i. e. artificial, systems. For example, natural systems include subatomic systems, living systems , the Solar System , galaxies , and the Universe , while artificial systems include man-made physical structures, hybrids of natural and artificial systems, and conceptual knowledge. The human elements of organization and functions are emphasized with their relevant abstract systems and representations. Artificial systems inherently have

1974-404: A tool-centric to a data-centric approach, enabling data sharing beyond a common repository for storing and retrieving shared data sets. These developments have led to the evolution of the collaboratory towards a globally distributed knowledge work that produces intangible goods and services capable of being both developed and distributed around the world using traditional ICT networks. Initially,

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2068-505: A user-centered approach provided a first evolutionary step in the design philosophy of the collaboratory, allowing rapid prototyping and development circles. Over the past decade the concept of the collaboratory expanded beyond that of an elaborate ICT solution, evolving into a “new networked organizational form that also includes social processes, collaboration techniques, formal and informal communication, and agreement on norms, principles, values, and rules”. The collaboratory shifted from being

2162-456: Is George Boole 's Boolean operators. Other examples relate specifically to philosophy, biology, or cognitive science. Maslow's hierarchy of needs applies psychology to biology by using pure logic. Numerous psychologists, including Carl Jung and Sigmund Freud developed systems that logically organize psychological domains, such as personalities, motivations, or intellect and desire. In 1988, military strategist, John A. Warden III introduced

2256-479: Is a factor that influences adoption of innovations, including scientific collaboratories. Some of the collaboratories implemented thus far have not been entirely successful. The Mathematics and Computer Science Division of Argonne National Laboratory, Waterfall Glen collaboratory (Henline, 1998) is an illustrative example. This collaboratory had its shares of problems. There have been the occasional technical and social disasters, but most importantly it did not meet all of

2350-534: Is a hardware system, software system , or combination, which has components as its structure and observable inter-process communications as its behavior. There are systems of counting, as with Roman numerals , and various systems for filing papers, or catalogs, and various library systems, of which the Dewey Decimal Classification is an example. This still fits with the definition of components that are connected together (in this case to facilitate

2444-620: Is a step forward in implementing collaboratories, as it has distance learning and health care as main domains of operation. Henline (1998) mentions that the collaboratory has been successfully used to implement applications for distance learning , command and control center, telemedical bridge, and a remote consulting tool suite. To date, most collaboratories have been applied largely in scientific research projects, with various degrees of success and failure. Recently, however, collaboratory models have been applied to additional areas of scientific research in both national and international contexts. As

2538-406: Is another element which can be critical for collaboration infrastructure readiness (Olson, Teasley, Bietz, & Cogburn, 2002). Pricing structures for network connectivity can affect the choices that users will make and therefore have an effect on the collaboratory's final design and implementation. Collaboration technology readiness, according to Olson, Teasley, Bietz, and Cogburn (2002), refers to

2632-421: Is emerging as a viable solution, using communication and computing technologies to relax the constraints of distance and time, creating an instance of a virtual organization. The collaboratory is both an opportunity with very useful properties, but also a challenge to human organizational practices (Olson, 2002). System A system is a group of interacting or interrelated elements that act according to

2726-476: Is no more so than in timely communication of essential information to effectively respond to health emergencies. While public domain archives have been embraced for depositing data, mainly post formal publication, they have failed to encourage rapid data sharing during health emergencies, among them the Ebola and Zika, outbreaks. More clearly defined principles are required to recognize the interests of those generating

2820-645: Is not subject to data sharing requirements, and many of these policies have liberal exceptions. In the absence of any binding requirement, data sharing is at the discretion of the scientists themselves. In addition, in certain situations governments and institutions prohibit or severely limit data sharing to protect proprietary interests, national security, and subject/patient/victim confidentiality. Data sharing may also be restricted to protect institutions and scientists from use of data for political purposes. Data and methods may be requested from an author years after publication. In order to encourage data sharing and prevent

2914-399: Is the most basic pre-requisite for an effective collaboratory, according to Olson, Teasley, Bietz, and Cogburn (2002). Often the critical component to collaboration readiness is based on the concept of “working together in order to achieve a science goal” (Olson, Teasley, Bietz, & Cogburn, 2002, p. 46). Incentives to collaborate, shared principles of collaboration, and experience with

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3008-575: Is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many to be part of the scientific method . A number of funding agencies and science journals require authors of peer-reviewed papers to share any supplemental information ( raw data , statistical methods or source code ) necessary to understand, develop or reproduce published research. A great deal of scientific research

3102-453: Is transdisciplinary in nature." A distinctive characteristic of collaboratories is that they focus on data collection and analysis. Hence the interest to apply collaborative technologies to support data sharing as opposed to tool sharing. Chin and Lansing (2004) explore the shift of collaboratory development from traditional tool-centric approaches to more data-centric ones, to effectively support data sharing. This means more than just providing

3196-448: Is very broad. For example, an output of a passenger ship is the movement of people from departure to destination. A system comprises multiple views . Human-made systems may have such views as concept, analysis , design , implementation , deployment, structure, behavior, input data, and output data views. A system model is required to describe and represent all these views. A systems architecture, using one single integrated model for

3290-598: The America COMPETES Act (or the "America Creating Opportunities to Meaningfully Promote Excellence in Technology, Education, and Science Act") requiring civilian federal agencies to provide guidelines, policies and procedures, to facilitate and optimize the open exchange of data and research between agencies, the public and policymakers. See Section 1009. ‘The National Institutes of Health (NIH) Grants Policy Statement defines "data" as "recorded information, regardless of

3384-595: The Five Ring System model in his book, The Air Campaign , contending that any complex system could be broken down into five concentric rings. Each ring—leadership, processes, infrastructure, population and action units—could be used to isolate key elements of any system that needed change. The model was used effectively by Air Force planners in the Iran–Iraq War . In the late 1990s, Warden applied his model to business strategy. Data sharing Data sharing

3478-519: The Latin word systēma , in turn from Greek σύστημα systēma : "whole concept made of several parts or members, system", literary "composition". In the 19th century, the French physicist Nicolas Léonard Sadi Carnot , who studied thermodynamics , pioneered the development of the concept of a system in the natural sciences . In 1824, he studied the system which he called the working substance (typically

3572-498: The National Institute on Aging has stated, "the old model in which researchers jealously guarded their data is no longer applicable". The Alliance for Taxpayer Access is a group of organizations that support open access to government sponsored research. The group has expressed a "Statement of Principles" explaining why they believe open access is important. They also list a number of international public access policies. This

3666-562: The National Science Foundation to encourage and facilitate data sharing among research scientists and better support meta-analysis . In environmental sciences, the research community is recognizing that major scientific advances involving integration of knowledge in and across fields will require that researchers overcome not only the technological barriers to data sharing but also the historically entrenched institutional and sociological barriers. Dr. Richard J. Hodes, director of

3760-419: The user-centered design in the collaboratory is that the system developers must be able to distinguish when a particular system or modification has positive impact on users’ work practices. An important part of obtaining this understanding is producing an accurate picture of how work is done prior to the introduction of technology. Finholt (1995) explains that behavioral scientists had the task of understanding

3854-560: The 50+20 initiative aiming at transforming management education. In this context, by fusing two elements, “collaboration” and “laboratory”, the word “collaboratory” suggests the construction of a space where people explore collaborative innovations. It is, as defined by Dr. Katrin Muff, “an open space for all stakeholders where action learning and action research join forces, and students, educators, and researchers work with members of all facets of society to address current dilemmas.” The concept of

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3948-501: The DCC was done in a phased approach. The first phase was based on iterative development, testing, and deployment of individual collaboratory tools. Once collaboratory team members had adequately tested each new tool, it was deployed to combustion researchers. The deployment of the infrastructure ( videoconferencing tools, multicast routing capabilities, and data archives) was done in parallel (Pancerella, Rahn, & Yang, 1999). The next phase

4042-975: The Diesel Combustion Collaboratory (DCC) which was a problem-solving environment for combustion research. The main goal of DCC was to make the information exchange for the combustion researchers more efficient. Researchers would collaborate over the Internet using various DCC tools. These tools included “a distributed execution management system for running combustion models on widely distributed computers ( distributed computing ), including supercomputers ; web accessible data archiving capabilities for sharing graphical experimental or modeling data; electronic notebooks and shared workspaces for facilitating collaboration; visualization of combustion data; and videoconferencing and data conferencing among researchers at remote sites” (Pancerella, Rahn, & Yang, 1999, p. 1). The collaboratory design team defined

4136-846: The Pacific Northwest National Laboratory (Chin & Lansing, 2004), enables the sharing and analysis of biological data through metadata capture, electronic laboratory notebooks , data organization views, data provenance tracking, analysis notes, task management, and scientific workflow management . BSC supports various data formats, has data translation capabilities, and can interact and exchange data with other sources (external databases , for example). It offers subscription capabilities (to allow certain individuals to access data) and verification of identities, establishes and manages permissions and privileges, and has data encryption capabilities (to ensure secure data transmission ) as part of its security package. BSC also provides

4230-482: The U.S. Public Health Service (PHS) at about 4,000 institutions worldwide. ORI monitors institutional investigations of research misconduct and facilitates the responsible conduct of research (RCR) through educational, preventive, and regulatory activities." Some research organizations feel particularly strongly about data sharing. Stanford University's WaveLab has a philosophy about reproducible research and disclosing all algorithms and source code necessary to reproduce

4324-661: The ability to interact with local and remote operators. A subsystem description is a system object that contains information defining the characteristics of an operating environment controlled by the system. The data tests are performed to verify the correctness of the individual subsystem configuration data (e.g. MA Length, Static Speed Profile, …) and they are related to a single subsystem in order to test its Specific Application (SA). There are many kinds of systems that can be analyzed both quantitatively and qualitatively . For example, in an analysis of urban systems dynamics , A . W. Steiss defined five intersecting systems, including

4418-406: The actual work settings for which new information technologies were developed. The goal of a user-centered design effort was to inject those observations back into the design process to provide a baseline for evaluating future changes and to illuminate productive directions for prototype development (Finholt, 1995). A similar viewpoint is expressed by Cogburn (2003) who relates the collaboratory to

4512-462: The allocation and scarcity of resources. The international sphere of interacting states is described and analyzed in systems terms by several international relations scholars, most notably in the neorealist school . This systems mode of international analysis has however been challenged by other schools of international relations thought, most notably the constructivist school , which argues that an over-large focus on systems and structures can obscure

4606-512: The authors of 23 articles and received 15 replies, resulting in a 70% response rate. They received five responses that included data files, giving an overall sharing rate of 20%. A study of scientists in training indicated many had already experienced data withholding. This study has given rise to the fear the future generation of scientists will not abide by the established practices. Requirements for data sharing are more commonly imposed by institutions, funding agencies, and publication venues in

4700-569: The collaboration and interaction requirements. The vast majority of the evaluations performed thus far are concentrating mainly on the usage statistics (e.g. total number of members, hours of use, amount of data communicated) or on the immediate role in the production of traditional scientific outcomes (e.g. publications and patents). Sonnenwald (2003), however, argues that we should rather look for longer-term and intangible measures such as new and continued relationship among scientists, and subsequent, longer-term creation of new knowledge. Regardless of

4794-458: The collaboration infrastructure readiness Olson, Teasley, Bietz, and Cogburn (2002) state that modern collaboration tools require adequate infrastructure to operate properly. Many off-the-shelf applications will run effectively only on state-of-the-art workstations. An important piece of the infrastructure is the technical support necessary to ensure version control, to get participants registered, and to recover in case of disaster. Communications cost

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4888-611: The collaboratory as a creative group process and its application are further developed in the book “The Collaboratory: A co-creative stakeholder engagement process for solving complex problems”. Examples of collaboratory events are provided on the website of the Collaboratory community as well as by Business School Lausanne - a Swiss business school that has adopted the collaboratory method to harness collective intelligence . Problems of geographic separation are especially present in large research projects. The time and cost for traveling,

4982-619: The collaboratory as being an environment where participants make use of computing and communication technologies to access shared instruments and data, as well as to communicate with others. However, a wide-ranging definition is provided by Cogburn (2003) who states that “a collaboratory is more than an elaborate collection of information and communications technologies; it is a new networked organizational form that also includes social processes; collaboration techniques; formal and informal communication; and agreement on norms, principles, values, and rules” (Cogburn, 2003, p. 86). This concept has

5076-450: The collaboratory was used in scientific research projects with variable degrees of success. In recent years, collaboratory models have been applied to areas beyond scientific research and the national context. The wide acceptance of collaborative technologies in many parts of the world opens promising opportunities for international cooperation in critical areas where societal stakeholders are unable to work out solutions in isolation, providing

5170-448: The concept of data sharing. We believe that data sharing is essential for expedited translation of research results into knowledge, products, and procedures to improve human health. The NIH endorses the sharing of final research data to serve these and other important scientific goals. The NIH expects and supports the timely release and sharing of final research data from NIH-supported studies for use by other researchers. ‘NIH recognizes that

5264-449: The criteria used for evaluation, we must focus on understanding the expectations and requirements defined for a collaboratory. Without such understanding a collaboratory runs the risk of not being adopted. Olson, Teasley, Bietz, and Cogburn (2002) ascertain some of the success factors of a collaboratory. They are: collaboration readiness, collaboration infrastructure readiness, and collaboration technology readiness. Collaboration readiness

5358-599: The data while permitting free, unencumbered access to and use of the data (pre-publication) for research and practical application, such as those adopted by the GISAID Initiative to counter emergent threats from influenza. Withholding of data has become so commonplace in genetics that researchers at Massachusetts General Hospital published a journal article on the subject. The study found that "Because they were denied access to data, 28% of geneticists reported that they had been unable to confirm published research." In

5452-410: The description of multiple views, is a kind of system model. A subsystem is a set of elements, which is a system itself, and a component of a larger system. The IBM Mainframe Job Entry Subsystem family ( JES1 , JES2 , JES3 , and their HASP / ASP predecessors) are examples. The main elements they have in common are the components that handle input, scheduling, spooling and output; they also have

5546-679: The design of collaboratories may now move beyond developing general communication mechanisms to evaluating and supporting the very nature of collaboration in the scientific context (Chin & Lansing, 2004). As stated in Chapter 4 of the 50+20 "Management Education for the World" book, "the term collaboratory was first introduced in the late 1980s to address problems of geographic separation in large research projects related to travel time and cost, difficulties in keeping contact with other scientists, control of experimental apparatus, distribution of information, and

5640-572: The difficulties in keeping contact with other scientists, the control of experimental apparatus, the distribution of information, and the large number of participants in a research project are just a few of the issues researchers are faced with. Therefore, collaboratories have been put into operation in response to these concerns and restrictions. However, the development and implementation proves to be not so inexpensive. From 1992 to 2000 financial budgets for scientific research and development of collaboratories ranged from US$ 447,000 to US$ 10,890,000 and

5734-399: The distinction between them is often elusive. An economic system is a social institution which deals with the production , distribution and consumption of goods and services in a particular society . The economic system is composed of people , institutions and their relationships to resources, such as the convention of property . It addresses the problems of economics , like

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5828-453: The elements of collaboration are also crucial. Successful interaction between users requires a certain amount of common ground. Interactions require a high degree of trust or negotiation, especially when they involve areas where there is a cultural difference . “Ethical norms tend to be culturally specific, and negotiations about ethical issues require high levels of trust” (Olson, Teasley, Bietz, & Cogburn, 2002, p. 49). When analyzing

5922-518: The fact that collaboration does not involve only technology and infrastructure, but also requires a considerable investment in training. Thus, it is essential to assess the state of technology readiness in the community to ensure success. If the level is too primitive more training is required to bring the users’ knowledge up-to-date. A comprehensively described example of a collaboratory, the Biological Sciences Collaboratory (BSC) at

6016-404: The flow of information). System can also refer to a framework, aka platform , be it software or hardware, designed to allow software programs to run. A flaw in a component or system can cause the component itself or an entire system to fail to perform its required function, e.g., an incorrect statement or data definition . In engineering and physics , a physical system is the portion of

6110-458: The form or medium on which it may be recorded, and includes writings, films, sound recordings, pictorial reproductions, drawings, designs, or other graphic representations, procedural manuals, forms, diagrams, work flow charts, equipment descriptions, data files, data processing or computer programs (software), statistical records, and other research data."’ The NIH Final Statement of Sharing of Research Data says: ‘NIH reaffirms its support for

6204-612: The highest impact was perceived by the geographically separated scientists that truly depended on each other to achieve their goals. One of the team's major challenges was to overcome the technological and social barriers in order to meet all of the objectives (Pancerella, Rahn, & Yang, 1999). User openness and low maintenance security collaboratories are hard to achieve, therefore user feedback and evaluation are constantly required. Other collaboratories that have been implemented and can be further investigated are: Special consideration should be attributed to TANGO (Henline, 1998) because it

6298-470: The integrity of collections or to accommodate legitimate interests of investigators. Allegations of misconduct in medical research carry severe consequences. The United States Department of Health and Human Services established an office to oversee investigations of allegations of misconduct, including data withholding. The website defines the mission: "The Office of Research Integrity (ORI) promotes integrity in biomedical and behavioral research supported by

6392-604: The investigators who collect the data have a legitimate interest in benefiting from their investment of time and effort. We have therefore revised our definition of "the timely release and sharing" to be no later than the acceptance for publication of the main findings from the final data set. NIH continues to expect that the initial investigators may benefit from first and continuing use but not from prolonged exclusive use.’ 36. Sharing of Findings, Data, and Other Research Products a. NSF …expects investigators to share with other researchers, at no more than incremental cost and within

6486-556: The large number of participants. In their first decade of use, collaboratories were seen as complex and expensive information and communication technology (ICT) solutions supporting 15 to 200 users per project, with budgets ranging from 0.5 to 10 million USD. At that time, collaboratories were designed from an ICT perspective to serve the interests of the scientific community with tool-oriented computing requirements, creating an environment that enabled systems design and participation in collaborative science and experiments. The introduction of

6580-406: The legitimacy of the request. Private interests and public agencies with national security interests (defense and law enforcement) often discourage sharing of data and methods through non-disclosure agreements. Data sharing poses specific challenges in participatory monitoring initiatives, for example where forest communities collect data on local social and environmental conditions. In this case,

6674-481: The loss or corruption of data, a number of funding agencies and journals established policies on data archiving . Access to publicly archived data is a recent development in the history of science made possible by technological advances in communications and information technology . To take full advantage of modern rapid communication may require consensual agreement on the criteria underlying mutual recognition of respective contributions. Models recognized for improving

6768-474: The medical and biological sciences than in the physical sciences. Requirements vary widely regarding whether data must be shared at all, with whom the data must be shared, and who must bear the expense of data sharing. Funding agencies such as the NIH and NSF tend to require greater sharing of data, but even these requirements tend to acknowledge the concerns of patient confidentiality, costs incurred in sharing data, and

6862-464: The notion of organizations as systems in his book The Fifth Discipline . Organizational theorists such as Margaret Wheatley have also described the workings of organizational systems in new metaphoric contexts, such as quantum physics , chaos theory , and the self-organization of systems . There is also such a thing as a logical system . An obvious example is the calculus developed simultaneously by Leibniz and Isaac Newton . Another example

6956-400: The physical subsystem and behavioral system. For sociological models influenced by systems theory, Kenneth D. Bailey defined systems in terms of conceptual , concrete , and abstract systems, either isolated , closed , or open . Walter F. Buckley defined systems in sociology in terms of mechanical , organic , and process models . Bela H. Banathy cautioned that for any inquiry into

7050-400: The project (Chin & Lansing, 2004). BSC offers community collaboration capabilities: scientists may publish their data sets to a larger community through the data portal . Notifications are in place for scientists interested in a particular set of data - when that data changes, the scientists get notification via email (Chin & Lansing, 2004). Pancerella, Rahn, and Yang (1999) analyzed

7144-496: The requirements to be (Pancerella, Rahn, & Yang, 1999): Each of these requirements had to be done securely and efficiently across the Internet. Resources availability was a major concern because many of the chemistry simulations could run for hours or even days on high-end workstations and produce Kilobytes to Megabytes of data sets. These data sets had to be visualized using simultaneous 2-D plots of multiple variables (Pancerella, Rahn, & Yang, 1999). The deployment of

7238-473: The research. In a paper titled "WaveLab and Reproducible Research," the authors describe some of the problems they encountered in trying to reproduce their own research after a period of time. In many cases, it was so difficult they gave up the effort. These experiences are what convinced them of the importance of disclosing source code. The philosophy is described: The Data Observation Network for Earth ( DataONE ) and Data Conservancy are projects supported by

7332-399: The risk of losing the trust of the science community. A 2022 study identified about 3500 research papers which contained statements that the data was available, but upon request and further seeking the data, found that it was unavailable for 94% of papers. Data sharing may also indicate the sharing of personal information on a social media platform. On August 9, 2007, President Bush signed

7426-405: The role of individual agency in social interactions. Systems-based models of international relations also underlie the vision of the international sphere held by the liberal institutionalist school of thought, which places more emphasis on systems generated by rules and interaction governance, particularly economic governance. In computer science and information science , an information system

7520-400: The scientific community, identifying the critical features or properties among which we can mention: Henline (1998) argues that communication about experimental data is another important characteristic of a collaboratory. By focusing attention on the dynamics of information exchange, the study of Zebrafish Information Network Project (Henline, 1998) concluded that the key challenges in creating

7614-637: The scientific process would speed up when they had access to the collaboratory. Finholt (1995), based on the case studies of the Upper Atmospheric Research Collaboratory (UARC) and the Medical Collaboratory, establishes a design philosophy: a collaboratory project must be dedicated to a user-centered design (UCD) approach. This means a commitment to develop software in programming environments that allow rapid prototyping, rapid development cycles (Finholt, 1995). A consequence of

7708-411: The steps of an analysis process and its encompassing data sets and tools (Chin & Lansing, 2004). BSC provides project collaboration by allowing scientists to define and manage members of their group. Security and authentication mechanisms are therefore applied to limit access to project data and applications. Monitoring capability allows for members to identify other members that are online working on

7802-1207: The system is not as structurally integral as is assumed (i.e. it is evident that if the initial expression is false, then the artificial system is not a "consistent formalized system"). For example, in geometry this is very evident in the postulation of theorems and extrapolation of proofs from them. George J. Klir maintained that no "classification is complete and perfect for all purposes", and defined systems as abstract, real, and conceptual physical systems , bounded and unbounded systems , discrete to continuous, pulse to hybrid systems , etc. The interactions between systems and their environments are categorized as relatively closed and open systems . Important distinctions have also been made between hard systems—–technical in nature and amenable to methods such as systems engineering , operations research, and quantitative systems analysis—and soft systems that involve people and organizations, commonly associated with concepts developed by Peter Checkland and Brian Wilson through soft systems methodology (SSM) involving methods such as action research and emphasis of participatory designs. Where hard systems might be identified as more scientific ,

7896-552: The system. There are natural and human-made (designed) systems. Natural systems may not have an apparent objective but their behavior can be interpreted as purposeful by an observer. Human-made systems are made with various purposes that are achieved by some action performed by or with the system. The parts of a system must be related; they must be "designed to work as a coherent entity"—otherwise they would be two or more distinct systems. Most systems are open systems , exchanging matter and energy with their respective surroundings; like

7990-462: The term working body when referring to the system. The biologist Ludwig von Bertalanffy became one of the pioneers of the general systems theory . In 1945 he introduced models, principles, and laws that apply to generalized systems or their subclasses, irrespective of their particular kind, the nature of their component elements, and the relation or 'forces' between them. In the late 1940s and mid-50s, Norbert Wiener and Ross Ashby pioneered

8084-584: The timely sharing of data for more effective response to emergent infectious disease threats include the data sharing mechanism introduced by the GISAID Initiative. Despite policies on data sharing and archiving, data withholding still happens. Authors may fail to archive data or they only archive a portion of the data. Failure to archive data alone is not data withholding. When a researcher requests additional information, an author sometimes refuses to provide it. When authors withhold data like this, they run

8178-417: The total use ranged from 17 to 215 users per collaboratory (Sonnenwald, 2003). Particularly higher costs occurred when software packages were not available for purchase and direct integration into the collaboratory or when requirements and expectations were not met. Chin and Lansing (2004) state that the research and development of scientific collaboratories had, thus far, a tool-centric approach. The main goal

8272-1003: The universe that is being studied (of which a thermodynamic system is one major example). Engineering also has the concept of a system referring to all of the parts and interactions between parts of a complex project. Systems engineering is the branch of engineering that studies how this type of system should be planned, designed, implemented, built, and maintained. Social and cognitive sciences recognize systems in models of individual humans and in human societies. They include human brain functions and mental processes as well as normative ethics systems and social and cultural behavioral patterns. In management science , operations research and organizational development , human organizations are viewed as management systems of interacting components such as subsystems or system aggregates, which are carriers of numerous complex business processes ( organizational behaviors ) and organizational structures. Organizational development theorist Peter Senge developed

8366-463: The use of mathematics to study systems of control and communication , calling it cybernetics . In the 1960s, Marshall McLuhan applied general systems theory in an approach that he called a field approach and figure/ground analysis , to the study of media theory . In the 1980s, John Henry Holland , Murray Gell-Mann and others coined the term complex adaptive system at the interdisciplinary Santa Fe Institute . Systems theory views

8460-401: The world as a complex system of interconnected parts. One scopes a system by defining its boundary ; this means choosing which entities are inside the system and which are outside—part of the environment . One can make simplified representations ( models ) of the system in order to understand it and to predict or impact its future behavior. These models may define the structure and behavior of

8554-453: The world using the global information and communication networks” (Cogburn, 2003, p. 81). Through the use of these global information and communications networks, organizations are able to take part in globally disarticulated production, which means they can locate their research and development facilities almost anywhere in the world, and engineers can collaborate across time zones, institutions and national boundaries. Meeting expectations

8648-552: Was that there have been important intellectual contributions on both sides, although the context was that of a developed country working together with a developing one and there have been social as well as cultural barriers. He further develops the idea that a successful CSCL would need to draw the best lessons learned on both sides in computer-mediated communication (CMC) and computer-supported cooperative work (CSCW). Sonnenwald (2003) conducted seventeen interviews with scientists and revealed important considerations. Scientists expect

8742-444: Was to implement full security in the collaboratory. The primary focus was on two-way synchronous and multi-way asynchronous collaborations (Pancerella, Rahn, & Yang, 1999). The challenge was to balance the increased access to data that was needed with the security requirements. The final phase was the broadening of the target research to multiple projects including a broader range of collaborators. The collaboratory team found that

8836-577: Was to provide tools for shared access and manipulation of specific software systems or scientific instruments. Such an emphasis on tools was necessary in the early development years of scientific collaboratories due to the lack of basic collaboration tools (e.g. text chat, synchronous audio or videoconferencing ) to support rudimentary levels of communication and interaction. Today, however, such tools are available in off-the-shelf software packages such as Microsoft NetMeeting , IBM Lotus Sametime , Mbone Videoconferencing (Chin and Lansing, 2004). Therefore,

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